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A camera phone based currency reader for the visually impaired

Published: 13 October 2008 Publication History

Abstract

In this paper we present a camera phone-based currency reader for the visually impaired that can identify the value of U.S. paper currency. Currently, U.S. paper currency can only be identified visually and this situation will continue for a foreseeable future. Our solution harvests the imaging and computational power on camera phones to read these bills. Considering it is impractical for the visually impaired to capture high quality image, our currency reader performs real time processing for each captured frame as the camera approaches the bill. We developed efficient background subtraction and perspective correction algorithms and trained our currency reader using an efficient Ada-boost framework. Our currency reader processes 10 frames/second and achieves a false positive rate of approximately 1/10000. Major smart phone platforms, including Symbian and Windows Mobile, are supported.

References

[1]
C.T. Baker F.H. Barnett G.D. Park W.L. Deremeik J.T. Rainey C. Epstein C. Massof, R.W. Hsu. Visual Disability Variables. I, II: The Importance and Difficulty of Activity Goals for a Sample of Low-Vision Patients. Archives of Physical Medicine and Rehabilitation, 86(5):946--967, 2005.
[2]
http://www.acb.org/press-releases/final-edit-papercurrency-ruling-080520.html.
[3]
http://www.knfbreader.com.
[4]
S. Krishna, G. Little, J. Black, and S. Panchanathan. A wearable face recognition system for individuals with visual impairments. Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility, pages 106--113, 2005.
[5]
Tim Kindberg, Mirjana Spasojevic, Rowanne Fleck, and Abigail Sellen. The ubiquitous camera: An in-depth study of camera phone use. IEEE Pervasive Computing, 4(2):42--50, 2005.
[6]
Y. Freund and R.E. Schapire. A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. Journal of Computer and System Sciences, 55(1):119--139, 1997.

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  • (2023)Görüntü işleme teknikleri kullanılarak multimedya görüntülerinde alt yazı bölgelerinin tespit edilmesiDetecting subtitle regions in multimedia images using image processing techniquesArtıbilim: Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi Fen Bilimleri Dergisi10.55198/artibilimfen.13851226:2(1-15)Online publication date: 31-Dec-2023
  • (2023)Advocacy as Access Work: How People with Visual Impairments Gain Access to Digital Banking in IndiaProceedings of the ACM on Human-Computer Interaction10.1145/35795967:CSCW1(1-23)Online publication date: 16-Apr-2023
  • (2023)Currency Detection for Visually Impaired People using Edge Devices2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom)10.1109/MoSICom59118.2023.10458734(498-503)Online publication date: 7-Dec-2023
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    cover image ACM Conferences
    Assets '08: Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
    October 2008
    332 pages
    ISBN:9781595939760
    DOI:10.1145/1414471
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 13 October 2008

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    Author Tags

    1. camera phone
    2. visually impaired

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    View all
    • (2023)Görüntü işleme teknikleri kullanılarak multimedya görüntülerinde alt yazı bölgelerinin tespit edilmesiDetecting subtitle regions in multimedia images using image processing techniquesArtıbilim: Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi Fen Bilimleri Dergisi10.55198/artibilimfen.13851226:2(1-15)Online publication date: 31-Dec-2023
    • (2023)Advocacy as Access Work: How People with Visual Impairments Gain Access to Digital Banking in IndiaProceedings of the ACM on Human-Computer Interaction10.1145/35795967:CSCW1(1-23)Online publication date: 16-Apr-2023
    • (2023)Currency Detection for Visually Impaired People using Edge Devices2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom)10.1109/MoSICom59118.2023.10458734(498-503)Online publication date: 7-Dec-2023
    • (2022)Iterative Design and Prototyping of Computer Vision Mediated Remote Sighted AssistanceACM Transactions on Computer-Human Interaction10.1145/350129829:4(1-40)Online publication date: 31-Mar-2022
    • (2022)IPCRF: An End-to-End Indian Paper Currency Recognition Framework for Blind and Visually Impaired PeopleIEEE Access10.1109/ACCESS.2022.320200710(90726-90744)Online publication date: 2022
    • (2021)Multiscale Object Detection from Drone Imagery Using Ensemble Transfer LearningDrones10.3390/drones50300665:3(66)Online publication date: 23-Jul-2021
    • (2021)Text Recognition in the WildACM Computing Surveys10.1145/344075654:2(1-35)Online publication date: 5-Mar-2021
    • (2021)OCR-based Inventory Management Algorithms Robust to Damaged Images2021 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48506.2021.9561280(12889-12895)Online publication date: 30-May-2021
    • (2020)Cursive Character Recognition in Natural Scene Images Using a Multilevel Convolutional Neural Network FusionIEEE Access10.1109/ACCESS.2020.30016058(109054-109070)Online publication date: 2020
    • (2020)Coinnet: platform independent application to recognize Indian currency notes using deep learning techniquesMultimedia Tools and Applications10.1007/s11042-020-09031-0Online publication date: 26-May-2020
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