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    Research report on Bangla optical character recognition using Kohonen network

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    Research report on Bangla optical character recognition using kohonen.pdf (285.9Kb)
    Date
    2007
    Publisher
    BRAC University
    Author
    Shatil, Adnan Md. Shoeb
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/658
    Abstract
    This report discusses the theory and implementation of an Optical Character Recognition (OCR) for Bangla. The principal idea is to convert images of text documents such as those obtained from scanning a document into editable texts. This report does not address the pre-processing steps such as skew correction and noise reduction (which is handled in a previous report), so the documents are assumed to pre-processed by another tool in the pipeline. For training and recognition, the input is then first converted to a binary image, and then into to a 25x25 pixel2 image; the only feature extracted from the images is a 625-bit long vector, which is then trained or classified using a Kohonen neural network. The OCR shows excellent performance for documents with single typeface. The work in progress is extending it to handle multiple typefaces.
    Keywords
    Bangla language processing; Bangla OCR
     
    Description
    Includes bibliographical references (page 13).
    Department
    Center for Research on Bangla Language Processing (CRBLP), BRAC University
    Collections
    • Technical Papers (Centre for Research on Bangla Language Processing)

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