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Varga, 2006 - Google Patents

Off-line Cursive Handwriting recognition using synthetic training data

Varga, 2006

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Document ID
16628753970141998430
Author
Varga T
Publication year

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Snippet

The problem of automatic recognition of scanned handwritten documents is of great significance in numerous scientific, business, industrial, and personal applications that require the reading and processing of human written texts. The ultimate goal is that …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
    • G—PHYSICS
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    • G06K9/20—Image acquisition
    • G06K9/22—Image acquisition using hand-held instruments
    • G06K9/222—Image acquisition using hand-held instruments the instrument generating sequences of position coordinates corresponding to handwriting; preprocessing or recognising digital ink
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/72—Methods or arrangements for recognition using electronic means using context analysis based on the provisionally recognized identity of a number of successive patterns, e.g. a word
    • G—PHYSICS
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    • G—PHYSICS
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    • G—PHYSICS
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    • G06K9/00852—Recognising whole cursive words
    • G06K9/00865—Recognising whole cursive words using stroke segmentation
    • G06K9/00879—Recognising whole cursive words using stroke segmentation with probabilistic networks, e.g. hidden Markov models
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/03—Detection or correction of errors, e.g. by rescanning the pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/01—Character recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20—Handling natural language data

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