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Geometry / Computing / Optical character recognition / Computer arithmetic / Tesseract / Hamming / IP / Microsoft Word / Apostrophe / Coding theory / Software / Error detection and correction


Bounding the Probability of Error for High Precision Recognition Gary B. Huang Department of Computer Science University of Massachusetts Amherst
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Document Date: 2009-07-02 13:00:10

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File Size: 263,47 KB

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Computer Science University of Massachusetts Amherst Amherst / /

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document-specific processing / text using natural language processing techniques / /

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set 10 / /

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Erik Learned-Miller Department / Computer Science University of Massachusetts Amherst Amherst / Andrew Kae Department / OCR / High Precision Recognition Gary B. Huang Department / /

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Erik Learned-Miller / Gary B. Huang / Andrew Kae / /

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curve / /

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C / T / /

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Massachusetts / /

Technology

OCR / natural language processing / optical character recognition / /

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