US20060268356A1 - Apparatus and method for capturing a document - Google Patents
Apparatus and method for capturing a document Download PDFInfo
- Publication number
- US20060268356A1 US20060268356A1 US11/500,637 US50063706A US2006268356A1 US 20060268356 A1 US20060268356 A1 US 20060268356A1 US 50063706 A US50063706 A US 50063706A US 2006268356 A1 US2006268356 A1 US 2006268356A1
- Authority
- US
- United States
- Prior art keywords
- zone
- sub
- document
- compression
- scanning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
- H04N1/41—Bandwidth or redundancy reduction
Definitions
- the invention relates to an image-capturing apparatus and method, and more particularly relates to an image-capturing system and method with compression technologies.
- a raster image is represented as a series of scan lines of pixels, wherein each pixel is accessed in a sequential manner, and each scan line is processed.
- An area to which image data may be output sequentially by the visual output device is referred to as a page.
- the image data of a page provides its complete visual representation.
- Interpreters of page description languages typically process images in one or both of two modes: band mode and frame mode. Both of these however generally require a buffer memory which can hold the entire visual representation of a page, it is desirable to reduce the buffer memory requirements, for example by using some form of compression.
- apparatus of image-capture such as a scanner
- “Loss-less” is one that image data captured by the scanner is decompressed without distortion
- “Lossy” is one that the image data is distorted after decompression.
- One compression method is shown in U.S. Pat. No. 6,269,190 to Mikkelsen et al. related to processes and apparatus for processing image data.
- a page of an image is divided into several regions. Each of these regions may be compressed according to a different technique according to the kind of data within the region. Each region can be compressed with a method that works well for the data contained in that region.
- a scanned object can be divided into various zones with various compression ratios set by users.
- an apparatus for capturing a document with a plurality of compression models comprises an image-processing system and an image-capturing system.
- the image-processing system is for accepting a request of setting the compression models for the document and processing the data of the document according to the compression models, wherein the request is from an exterior electric device connected to the apparatus.
- the image-capturing system is for capturing the data of the document, and is connected to the image-processing system and comprises multitudes of optic devices.
- the method for capturing the document with these compression models comprises accepting a request of setting the compression models for the document; capturing the data of the document; and processing the data of the document with these compression models.
- FIG. 1 is a block diagram of an image-capturing system 11 for practicing the present invention.
- FIG. 2 is a schematic diagram illustrating the flow chart in accordance with the present invention.
- a capturing system for capturing a document with a plurality of compression models comprises computer-readable programs, an processing system, and a scanning system.
- the computer-readable programs are stored in a computer connected to said capturing system and used for providing a display interface for assigning the compression models to the zones on the document.
- the processing system is for accepting a request of setting the compression models for the document and processing the data of the document according to the compression models.
- the request is from the computer-readable programs.
- the scanning system is connected to the processing system and used for capturing the data of the document and transferring the data to the processing system.
- the method for capturing the document with these compression models comprises accepting a request of setting the compression models for the document; capturing the data of the document; and processing the data of the document with these compression models.
- the image-capturing system 11 may be implemented as functional components within a scanning system, and may take the form of hardware or software, or some combination thereof.
- the components of FIG. 1 may be implemented in any hardware platform suitable for a scanning system.
- the data capture part 12 such as optical devices and the related peripheral apparatus or circuits, is responsible to capture the raw data of a document 10 when the document 10 is scanned by the image-capturing system 11 .
- the document 10 is typically a paper document containing a source image of some kind.
- the source image may be primarily grayscale, such as a photograph, or primarily bitonal, such as text. Alternatively, the source image is a more complex image type incorporating both grayscale and bitonal components.
- the data process part 14 such as microprocessor and related peripheral devices and circuits, is responsible for processing the raw data and executing various types of compression for the raw data. For example, color compression may be used, in which case an analysis of chrominance and luminance components might be performed in order to provide recommendations among various color and non-color compression schemes.
- the data process part 14 outputs the processed image data to a host computer 16 for further data processing.
- the data process part 14 can provides users to select various compression models, such as “Loss-less” and “Lossy”, for a single document 10 through the host computer 16 .
- various compression models such as “Loss-less” and “Lossy”
- users can select “Loss-less” compression model for the source image of the document 10 on consideration of non-distortion.
- the “Loss-less” compression model processes the image data with the lower ratio of compression, which doesn't result in distortion through decompression by the host computer 16 .
- users select “Lossy” compression model for the other inferior parts of the document 10 on consideration of the less capacity of data.
- the “Lossy” compression model processes the image data with the higher ratio of compression, which may reduce the capacity of the image data and speed up the scanning process.
- FIG. 2 is a schematic diagram illustrating the flow chart in accordance with the present invention.
- pre-scanning of a document is performed by the scanner with default settings (step 20 ) in order to perform classification of the document.
- Users can view the pre-scanned image on a display screen with any image software in the host computer.
- users would select a scanned zone for the document they want through the tools provided by the image software (step 22 ).
- users can further determine one or more “Loss-less” zones and “Lossy” zones on the selected scanned zone (step 24 ).
- the geometric shapes of the “Loss-less” or “Lossy” zones can be arbitrary, dependent on the users and the tools provided by the image software. Then the formal scanning of the document is implemented by the scanner according to the users' settings through the host computer (step 26 ).
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
Abstract
Description
- 1. Field of the Invention
- The invention relates to an image-capturing apparatus and method, and more particularly relates to an image-capturing system and method with compression technologies.
- 2. Description of the Prior Art
- Most computer systems use a form of raster image to output image data to a visual output device such as a cathode ray tube (CRT) monitor, liquid crystal display (LCD), or a printer such as a color laser copier. A raster image is represented as a series of scan lines of pixels, wherein each pixel is accessed in a sequential manner, and each scan line is processed. An area to which image data may be output sequentially by the visual output device is referred to as a page. The image data of a page provides its complete visual representation.
- Interpreters of page description languages typically process images in one or both of two modes: band mode and frame mode. Both of these however generally require a buffer memory which can hold the entire visual representation of a page, it is desirable to reduce the buffer memory requirements, for example by using some form of compression. In general apparatus of image-capture, such as a scanner, there are two models in a technology of compression. “Loss-less” is one that image data captured by the scanner is decompressed without distortion, while “Lossy” is one that the image data is distorted after decompression. One compression method is shown in U.S. Pat. No. 6,269,190 to Mikkelsen et al. related to processes and apparatus for processing image data. A page of an image is divided into several regions. Each of these regions may be compressed according to a different technique according to the kind of data within the region. Each region can be compressed with a method that works well for the data contained in that region.
- Another compression method is shown in U.S. Pat. No. 6,097,845 to Ng et al. It is for discriminating among image characteristics in order to select among a plurality of compression techniques. Multiple compression schemes are applied to a source image concurrently and the results are stored. Image discrimination is performed in parallel with the image compression to generate a recommendation regarding the stored compressed images.
- It is a principal object of the present invention to provide a system and method of image capture. Users can determine a captured image coordinated with settings of various compression models. Thus, the capture rate speeds up as well as the captured image isn't distorted.
- It is another object of the present invention to provide a method of scanning applied on a scanner. A scanned object can be divided into various zones with various compression ratios set by users.
- In the present invention, an apparatus for capturing a document with a plurality of compression models comprises an image-processing system and an image-capturing system. The image-processing system is for accepting a request of setting the compression models for the document and processing the data of the document according to the compression models, wherein the request is from an exterior electric device connected to the apparatus. The image-capturing system is for capturing the data of the document, and is connected to the image-processing system and comprises multitudes of optic devices. The method for capturing the document with these compression models comprises accepting a request of setting the compression models for the document; capturing the data of the document; and processing the data of the document with these compression models.
- A better understanding of the invention may be derived by reading the following detailed description with reference to the accompanying drawings wherein:
-
FIG. 1 is a block diagram of an image-capturingsystem 11 for practicing the present invention; and -
FIG. 2 is a schematic diagram illustrating the flow chart in accordance with the present invention. - While the invention is described in terms of a single preferred embodiment, those skilled in the art will recognize that many devices described below can be altered as well as other substitutions with same function and can be freely made without departing from the spirit and scope of the invention.
- Furthermore, the drawings are not necessarily to scale for clarify of illustration and should not be interpreted in a limiting sense. Furthermore, the present invention can be applied on other image-capturing apparatus without limitation of a scanner in the present invention.
- In the present invention, a capturing system for capturing a document with a plurality of compression models comprises computer-readable programs, an processing system, and a scanning system. The computer-readable programs are stored in a computer connected to said capturing system and used for providing a display interface for assigning the compression models to the zones on the document. The processing system is for accepting a request of setting the compression models for the document and processing the data of the document according to the compression models. The request is from the computer-readable programs. The scanning system is connected to the processing system and used for capturing the data of the document and transferring the data to the processing system. The method for capturing the document with these compression models comprises accepting a request of setting the compression models for the document; capturing the data of the document; and processing the data of the document with these compression models.
- Referring now to
FIG. 1 , there is shown a block diagram of an image-capturing system for practicing the present invention. The image-capturingsystem 11 may be implemented as functional components within a scanning system, and may take the form of hardware or software, or some combination thereof. In one embodiment, the components ofFIG. 1 may be implemented in any hardware platform suitable for a scanning system. For example, there are adata capture part 12 and adata process part 14 in the image-capturingsystem 11. The data capturepart 12, such as optical devices and the related peripheral apparatus or circuits, is responsible to capture the raw data of adocument 10 when thedocument 10 is scanned by the image-capturingsystem 11. Thedocument 10 is typically a paper document containing a source image of some kind. The source image may be primarily grayscale, such as a photograph, or primarily bitonal, such as text. Alternatively, the source image is a more complex image type incorporating both grayscale and bitonal components. - In such cases, the
data process part 14, such as microprocessor and related peripheral devices and circuits, is responsible for processing the raw data and executing various types of compression for the raw data. For example, color compression may be used, in which case an analysis of chrominance and luminance components might be performed in order to provide recommendations among various color and non-color compression schemes. Next, thedata process part 14 outputs the processed image data to ahost computer 16 for further data processing. - In one embodiment of the present invention, the
data process part 14 can provides users to select various compression models, such as “Loss-less” and “Lossy”, for asingle document 10 through thehost computer 16. For example, users can select “Loss-less” compression model for the source image of thedocument 10 on consideration of non-distortion. The “Loss-less” compression model processes the image data with the lower ratio of compression, which doesn't result in distortion through decompression by thehost computer 16. On the other hand, users select “Lossy” compression model for the other inferior parts of thedocument 10 on consideration of the less capacity of data. The “Lossy” compression model processes the image data with the higher ratio of compression, which may reduce the capacity of the image data and speed up the scanning process. -
FIG. 2 is a schematic diagram illustrating the flow chart in accordance with the present invention. First, pre-scanning of a document is performed by the scanner with default settings (step 20) in order to perform classification of the document. Users can view the pre-scanned image on a display screen with any image software in the host computer. Next, users would select a scanned zone for the document they want through the tools provided by the image software (step 22). As one of key features of the present invention, users can further determine one or more “Loss-less” zones and “Lossy” zones on the selected scanned zone (step 24). In the present invention, the geometric shapes of the “Loss-less” or “Lossy” zones can be arbitrary, dependent on the users and the tools provided by the image software. Then the formal scanning of the document is implemented by the scanner according to the users' settings through the host computer (step 26). - While this invention has been described with reference to illustrative embodiments, this description is not intended to be construed in a limiting sense. Various modifications and combinations of the illustrative embodiments, as well as other embodiments of the invention, will be apparent to persons skilled in the art upon reference to the description. It is therefore intended that the appended claims encompass any such modifications or embodiments.
Claims (15)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/500,637 US20060268356A1 (en) | 2001-12-31 | 2006-08-07 | Apparatus and method for capturing a document |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/029,846 US7346215B2 (en) | 2001-12-31 | 2001-12-31 | Apparatus and method for capturing a document |
US11/500,637 US20060268356A1 (en) | 2001-12-31 | 2006-08-07 | Apparatus and method for capturing a document |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/029,846 Continuation US7346215B2 (en) | 2001-12-31 | 2001-12-31 | Apparatus and method for capturing a document |
Publications (1)
Publication Number | Publication Date |
---|---|
US20060268356A1 true US20060268356A1 (en) | 2006-11-30 |
Family
ID=21851186
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/029,846 Expired - Lifetime US7346215B2 (en) | 2001-12-31 | 2001-12-31 | Apparatus and method for capturing a document |
US11/500,637 Abandoned US20060268356A1 (en) | 2001-12-31 | 2006-08-07 | Apparatus and method for capturing a document |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/029,846 Expired - Lifetime US7346215B2 (en) | 2001-12-31 | 2001-12-31 | Apparatus and method for capturing a document |
Country Status (1)
Country | Link |
---|---|
US (2) | US7346215B2 (en) |
Cited By (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060215231A1 (en) * | 2005-03-24 | 2006-09-28 | Borrey Roland G | Systems and methods of processing scanned data |
US8855375B2 (en) | 2012-01-12 | 2014-10-07 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US8885229B1 (en) | 2013-05-03 | 2014-11-11 | Kofax, Inc. | Systems and methods for detecting and classifying objects in video captured using mobile devices |
US8958605B2 (en) | 2009-02-10 | 2015-02-17 | Kofax, Inc. | Systems, methods and computer program products for determining document validity |
US9058515B1 (en) | 2012-01-12 | 2015-06-16 | Kofax, Inc. | Systems and methods for identification document processing and business workflow integration |
US9058580B1 (en) | 2012-01-12 | 2015-06-16 | Kofax, Inc. | Systems and methods for identification document processing and business workflow integration |
US9137417B2 (en) | 2005-03-24 | 2015-09-15 | Kofax, Inc. | Systems and methods for processing video data |
US9141926B2 (en) | 2013-04-23 | 2015-09-22 | Kofax, Inc. | Smart mobile application development platform |
US9208536B2 (en) | 2013-09-27 | 2015-12-08 | Kofax, Inc. | Systems and methods for three dimensional geometric reconstruction of captured image data |
US20160094730A1 (en) * | 2014-09-30 | 2016-03-31 | Brother Kogyo Kabushiki Kaisha | Information processing device, and method and non-transitory computer-readable recording medium for the same |
US9311531B2 (en) | 2013-03-13 | 2016-04-12 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US9355312B2 (en) | 2013-03-13 | 2016-05-31 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US9386235B2 (en) | 2013-11-15 | 2016-07-05 | Kofax, Inc. | Systems and methods for generating composite images of long documents using mobile video data |
US9396388B2 (en) | 2009-02-10 | 2016-07-19 | Kofax, Inc. | Systems, methods and computer program products for determining document validity |
US9483794B2 (en) | 2012-01-12 | 2016-11-01 | Kofax, Inc. | Systems and methods for identification document processing and business workflow integration |
US9576272B2 (en) | 2009-02-10 | 2017-02-21 | Kofax, Inc. | Systems, methods and computer program products for determining document validity |
US9747269B2 (en) | 2009-02-10 | 2017-08-29 | Kofax, Inc. | Smart optical input/output (I/O) extension for context-dependent workflows |
US9760788B2 (en) | 2014-10-30 | 2017-09-12 | Kofax, Inc. | Mobile document detection and orientation based on reference object characteristics |
US9767354B2 (en) | 2009-02-10 | 2017-09-19 | Kofax, Inc. | Global geographic information retrieval, validation, and normalization |
US9769354B2 (en) | 2005-03-24 | 2017-09-19 | Kofax, Inc. | Systems and methods of processing scanned data |
US9779296B1 (en) | 2016-04-01 | 2017-10-03 | Kofax, Inc. | Content-based detection and three dimensional geometric reconstruction of objects in image and video data |
US10146795B2 (en) | 2012-01-12 | 2018-12-04 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US10242285B2 (en) | 2015-07-20 | 2019-03-26 | Kofax, Inc. | Iterative recognition-guided thresholding and data extraction |
US10594890B2 (en) * | 2016-02-11 | 2020-03-17 | Hewlett-Packard Development Company, L.P. | Compressing each object in an electronic document |
US10803350B2 (en) | 2017-11-30 | 2020-10-13 | Kofax, Inc. | Object detection and image cropping using a multi-detector approach |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070172130A1 (en) * | 2006-01-25 | 2007-07-26 | Konstantin Zuev | Structural description of a document, a method of describing the structure of graphical objects and methods of object recognition. |
US9015573B2 (en) | 2003-03-28 | 2015-04-21 | Abbyy Development Llc | Object recognition and describing structure of graphical objects |
US9224040B2 (en) | 2003-03-28 | 2015-12-29 | Abbyy Development Llc | Method for object recognition and describing structure of graphical objects |
US8571262B2 (en) * | 2006-01-25 | 2013-10-29 | Abbyy Development Llc | Methods of object search and recognition |
RU2006101908A (en) * | 2006-01-25 | 2010-04-27 | Аби Софтвер Лтд. (Cy) | STRUCTURAL DESCRIPTION OF THE DOCUMENT, METHOD FOR DESCRIPTION OF THE STRUCTURE OF GRAPHIC OBJECTS AND METHODS OF THEIR RECOGNITION (OPTIONS) |
US8233714B2 (en) * | 2006-08-01 | 2012-07-31 | Abbyy Software Ltd. | Method and system for creating flexible structure descriptions |
US8290272B2 (en) * | 2007-09-14 | 2012-10-16 | Abbyy Software Ltd. | Creating a document template for capturing data from a document image and capturing data from a document image |
US8547589B2 (en) | 2008-09-08 | 2013-10-01 | Abbyy Software Ltd. | Data capture from multi-page documents |
US9390321B2 (en) | 2008-09-08 | 2016-07-12 | Abbyy Development Llc | Flexible structure descriptions for multi-page documents |
US8971630B2 (en) | 2012-04-27 | 2015-03-03 | Abbyy Development Llc | Fast CJK character recognition |
US8989485B2 (en) | 2012-04-27 | 2015-03-24 | Abbyy Development Llc | Detecting a junction in a text line of CJK characters |
Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5828780A (en) * | 1993-12-21 | 1998-10-27 | Ricoh Company, Ltd. | Image processing apparatus with improved color correction |
US5966468A (en) * | 1994-08-04 | 1999-10-12 | Canon Kabushiki Kaisha | Image processing apparatus and method therefor |
US5991515A (en) * | 1992-11-10 | 1999-11-23 | Adobe Systems Incorporated | Method and apparatus for compressing and decompressing data prior to display |
US6097845A (en) * | 1997-10-21 | 2000-08-01 | Canon Kabushiki Kaisha | Image discriminator |
US6144772A (en) * | 1998-01-29 | 2000-11-07 | Canon Kabushiki Kaisha | Variable compression encoding of digitized images |
US6215904B1 (en) * | 1994-11-30 | 2001-04-10 | Xerox Corporation | Apparatus and method for selecting encoding schemes based upon image content |
US6269190B1 (en) * | 1996-09-24 | 2001-07-31 | Electronics For Imaging, Inc. | Computer system for processing images using a virtual frame buffer |
US20020012126A1 (en) * | 1999-12-20 | 2002-01-31 | Hiroaki Nakamura | Image processing method and apparatus |
US6512856B1 (en) * | 1999-07-27 | 2003-01-28 | Hewlett-Packard Company | System and method for information stamping a digitized image |
US6646765B1 (en) * | 1999-02-19 | 2003-11-11 | Hewlett-Packard Development Company, L.P. | Selective document scanning method and apparatus |
US6700685B1 (en) * | 1998-06-22 | 2004-03-02 | Fuji Photo Film Co., Ltd. | Image processing apparatus |
US6735740B2 (en) * | 1997-09-08 | 2004-05-11 | Fujitsu Limited | Document composite image display method and device utilizing categorized partial images |
US6804401B2 (en) * | 2000-05-12 | 2004-10-12 | Xerox Corporation | Method for compressing digital documents with control of image quality subject to multiple compression rate constraints |
US6885772B2 (en) * | 2000-04-08 | 2005-04-26 | Carl Zeiss Vision Gmbh | Process for cyclic, interactive image analysis, and also computer system and computer program for performing the process |
US7145676B2 (en) * | 2001-01-31 | 2006-12-05 | Hewlett-Packard Development Company, L.P. | Compound document image compression using multi-region two layer format |
-
2001
- 2001-12-31 US US10/029,846 patent/US7346215B2/en not_active Expired - Lifetime
-
2006
- 2006-08-07 US US11/500,637 patent/US20060268356A1/en not_active Abandoned
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5991515A (en) * | 1992-11-10 | 1999-11-23 | Adobe Systems Incorporated | Method and apparatus for compressing and decompressing data prior to display |
US5828780A (en) * | 1993-12-21 | 1998-10-27 | Ricoh Company, Ltd. | Image processing apparatus with improved color correction |
US5966468A (en) * | 1994-08-04 | 1999-10-12 | Canon Kabushiki Kaisha | Image processing apparatus and method therefor |
US6215904B1 (en) * | 1994-11-30 | 2001-04-10 | Xerox Corporation | Apparatus and method for selecting encoding schemes based upon image content |
US6269190B1 (en) * | 1996-09-24 | 2001-07-31 | Electronics For Imaging, Inc. | Computer system for processing images using a virtual frame buffer |
US6735740B2 (en) * | 1997-09-08 | 2004-05-11 | Fujitsu Limited | Document composite image display method and device utilizing categorized partial images |
US6097845A (en) * | 1997-10-21 | 2000-08-01 | Canon Kabushiki Kaisha | Image discriminator |
US6144772A (en) * | 1998-01-29 | 2000-11-07 | Canon Kabushiki Kaisha | Variable compression encoding of digitized images |
US6700685B1 (en) * | 1998-06-22 | 2004-03-02 | Fuji Photo Film Co., Ltd. | Image processing apparatus |
US6646765B1 (en) * | 1999-02-19 | 2003-11-11 | Hewlett-Packard Development Company, L.P. | Selective document scanning method and apparatus |
US6512856B1 (en) * | 1999-07-27 | 2003-01-28 | Hewlett-Packard Company | System and method for information stamping a digitized image |
US20020012126A1 (en) * | 1999-12-20 | 2002-01-31 | Hiroaki Nakamura | Image processing method and apparatus |
US6885772B2 (en) * | 2000-04-08 | 2005-04-26 | Carl Zeiss Vision Gmbh | Process for cyclic, interactive image analysis, and also computer system and computer program for performing the process |
US6804401B2 (en) * | 2000-05-12 | 2004-10-12 | Xerox Corporation | Method for compressing digital documents with control of image quality subject to multiple compression rate constraints |
US7145676B2 (en) * | 2001-01-31 | 2006-12-05 | Hewlett-Packard Development Company, L.P. | Compound document image compression using multi-region two layer format |
Cited By (48)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9129210B2 (en) | 2005-03-24 | 2015-09-08 | Kofax, Inc. | Systems and methods of processing scanned data |
US8749839B2 (en) * | 2005-03-24 | 2014-06-10 | Kofax, Inc. | Systems and methods of processing scanned data |
US8823991B2 (en) | 2005-03-24 | 2014-09-02 | Kofax, Inc. | Systems and methods of processing scanned data |
US9769354B2 (en) | 2005-03-24 | 2017-09-19 | Kofax, Inc. | Systems and methods of processing scanned data |
US20060215231A1 (en) * | 2005-03-24 | 2006-09-28 | Borrey Roland G | Systems and methods of processing scanned data |
US9137417B2 (en) | 2005-03-24 | 2015-09-15 | Kofax, Inc. | Systems and methods for processing video data |
US9396388B2 (en) | 2009-02-10 | 2016-07-19 | Kofax, Inc. | Systems, methods and computer program products for determining document validity |
US8958605B2 (en) | 2009-02-10 | 2015-02-17 | Kofax, Inc. | Systems, methods and computer program products for determining document validity |
US9767354B2 (en) | 2009-02-10 | 2017-09-19 | Kofax, Inc. | Global geographic information retrieval, validation, and normalization |
US9747269B2 (en) | 2009-02-10 | 2017-08-29 | Kofax, Inc. | Smart optical input/output (I/O) extension for context-dependent workflows |
US9576272B2 (en) | 2009-02-10 | 2017-02-21 | Kofax, Inc. | Systems, methods and computer program products for determining document validity |
US9342742B2 (en) | 2012-01-12 | 2016-05-17 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US9058515B1 (en) | 2012-01-12 | 2015-06-16 | Kofax, Inc. | Systems and methods for identification document processing and business workflow integration |
US8855375B2 (en) | 2012-01-12 | 2014-10-07 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US9158967B2 (en) | 2012-01-12 | 2015-10-13 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US9165188B2 (en) | 2012-01-12 | 2015-10-20 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US9165187B2 (en) | 2012-01-12 | 2015-10-20 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US8971587B2 (en) | 2012-01-12 | 2015-03-03 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US8989515B2 (en) | 2012-01-12 | 2015-03-24 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US10664919B2 (en) | 2012-01-12 | 2020-05-26 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US10146795B2 (en) | 2012-01-12 | 2018-12-04 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US9058580B1 (en) | 2012-01-12 | 2015-06-16 | Kofax, Inc. | Systems and methods for identification document processing and business workflow integration |
US9514357B2 (en) | 2012-01-12 | 2016-12-06 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US10657600B2 (en) | 2012-01-12 | 2020-05-19 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US8879120B2 (en) | 2012-01-12 | 2014-11-04 | Kofax, Inc. | Systems and methods for mobile image capture and processing |
US9483794B2 (en) | 2012-01-12 | 2016-11-01 | Kofax, Inc. | Systems and methods for identification document processing and business workflow integration |
US9355312B2 (en) | 2013-03-13 | 2016-05-31 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US9996741B2 (en) | 2013-03-13 | 2018-06-12 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US9311531B2 (en) | 2013-03-13 | 2016-04-12 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US9754164B2 (en) | 2013-03-13 | 2017-09-05 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US10127441B2 (en) | 2013-03-13 | 2018-11-13 | Kofax, Inc. | Systems and methods for classifying objects in digital images captured using mobile devices |
US10146803B2 (en) | 2013-04-23 | 2018-12-04 | Kofax, Inc | Smart mobile application development platform |
US9141926B2 (en) | 2013-04-23 | 2015-09-22 | Kofax, Inc. | Smart mobile application development platform |
US9584729B2 (en) | 2013-05-03 | 2017-02-28 | Kofax, Inc. | Systems and methods for improving video captured using mobile devices |
US8885229B1 (en) | 2013-05-03 | 2014-11-11 | Kofax, Inc. | Systems and methods for detecting and classifying objects in video captured using mobile devices |
US9253349B2 (en) | 2013-05-03 | 2016-02-02 | Kofax, Inc. | Systems and methods for detecting and classifying objects in video captured using mobile devices |
US9208536B2 (en) | 2013-09-27 | 2015-12-08 | Kofax, Inc. | Systems and methods for three dimensional geometric reconstruction of captured image data |
US9946954B2 (en) | 2013-09-27 | 2018-04-17 | Kofax, Inc. | Determining distance between an object and a capture device based on captured image data |
US9747504B2 (en) | 2013-11-15 | 2017-08-29 | Kofax, Inc. | Systems and methods for generating composite images of long documents using mobile video data |
US9386235B2 (en) | 2013-11-15 | 2016-07-05 | Kofax, Inc. | Systems and methods for generating composite images of long documents using mobile video data |
US9712691B2 (en) * | 2014-09-30 | 2017-07-18 | Brother Kogyo Kabushiki Kaisha | Image processing system for combining scanned data with previously stored data |
US20160094730A1 (en) * | 2014-09-30 | 2016-03-31 | Brother Kogyo Kabushiki Kaisha | Information processing device, and method and non-transitory computer-readable recording medium for the same |
US9760788B2 (en) | 2014-10-30 | 2017-09-12 | Kofax, Inc. | Mobile document detection and orientation based on reference object characteristics |
US10242285B2 (en) | 2015-07-20 | 2019-03-26 | Kofax, Inc. | Iterative recognition-guided thresholding and data extraction |
US10594890B2 (en) * | 2016-02-11 | 2020-03-17 | Hewlett-Packard Development Company, L.P. | Compressing each object in an electronic document |
US9779296B1 (en) | 2016-04-01 | 2017-10-03 | Kofax, Inc. | Content-based detection and three dimensional geometric reconstruction of objects in image and video data |
US10803350B2 (en) | 2017-11-30 | 2020-10-13 | Kofax, Inc. | Object detection and image cropping using a multi-detector approach |
US11062176B2 (en) | 2017-11-30 | 2021-07-13 | Kofax, Inc. | Object detection and image cropping using a multi-detector approach |
Also Published As
Publication number | Publication date |
---|---|
US20030123113A1 (en) | 2003-07-03 |
US7346215B2 (en) | 2008-03-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7346215B2 (en) | Apparatus and method for capturing a document | |
EP0105116B1 (en) | Enhancement of video images by selective introduction of gray-scale pels | |
US7564583B2 (en) | Methods and apparatus for reconstructing digitized images | |
US7515313B2 (en) | Method and system for scanning with one-scan-and-done feature | |
JP2001056673A (en) | Technique for displaying complicated character | |
JP2005045404A (en) | Image processor and method, and program | |
US6924909B2 (en) | High-speed scanner having image processing for improving the color reproduction and visual appearance thereof | |
US8369614B2 (en) | Edge control in a digital color image via tone and size dependent dilation of pixels | |
US8971647B2 (en) | Image compression apparatus, image compression method, and storage medium | |
JP2003008909A (en) | Image processor, image processing method, program and storage medium | |
JPH0772839A (en) | Color video display unit | |
US6272251B1 (en) | Fully automatic pasting of images into compressed pre-collated documents | |
JP2003219150A (en) | Image processing apparatus | |
US7430342B2 (en) | Image processing apparatus and image processing program to perform image data resolution conversion | |
EP0649246B1 (en) | A method of reducing document size for optical display | |
US7034965B2 (en) | Method and system for automatic scanning system | |
US20020154343A1 (en) | System and method of capturing a digital picture | |
US20080043269A1 (en) | Method and apparatus for processing image containing picture and characters | |
US7826664B2 (en) | Systems and methods for efficient manual windowing operation | |
JP2004112303A (en) | Image processing method, image processor, and image processing system | |
JPH08223410A (en) | Document image input method | |
JP3475606B2 (en) | Image processing device | |
JP2022166904A (en) | Image reading device | |
JPH06339028A (en) | Picture display device | |
JPH0795391A (en) | Picture element density converter |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: TRANSPACIFIC IP, LTD., TAIWAN Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:VEUTRON CORPORATION;REEL/FRAME:018174/0249 Effective date: 20050706 Owner name: UMAX DATA SYSTEMS, INC., TAIWAN Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SHIH, CHEN-HSIANG;HUANG, YIN-CHUN;REEL/FRAME:018174/0504 Effective date: 20011205 Owner name: VEUTRON CORPORATION, TAIWAN Free format text: CHANGE OF NAME;ASSIGNOR:UMAX DATA SYSTEMS, INC.;REEL/FRAME:018174/0516 Effective date: 20021029 |
|
AS | Assignment |
Owner name: TRANSPACIFIC SYSTEMS, LLC, DELAWARE Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:TRANSPACIFIC IP LTD.;REEL/FRAME:023107/0267 Effective date: 20090618 Owner name: TRANSPACIFIC SYSTEMS, LLC,DELAWARE Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:TRANSPACIFIC IP LTD.;REEL/FRAME:023107/0267 Effective date: 20090618 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |