Hybrid OCR techniques for cursive script languages - A review and applications

Azam Beg, Faheem Ahmed, Piers Campbell

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    Software-based Arabic optical character recognition (OCR) has been used quite successfully for many years. However, the hardware-based implementations of the OCR - which can be 10-100 times faster than the software-only method - seem to not have been fully exploited. This paper briefly reviews the research material addressing software based OCR but focuses more on the hardware realization of Arabic OCR. The software-only OCR methods have achieved reasonable maturity but require use of PCs (or similar platforms), which is an obvious hindrance for OCR implementations in small form factor, such as pens or mobile devices. Different researchers have addressed individual, sub-tasks of Arabic (non-Latin) OCR, but not as complete, functional systems. The recognition accuracies also have significant room of improvement. The main challenge for practically functioning OCR systems in smaller sizes is the optimization of software algorithms so they can be efficiently and cost-effectively realized in hardware.

    Original languageEnglish
    Title of host publicationProceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
    Pages101-105
    Number of pages5
    DOIs
    Publication statusPublished - 2010
    Event2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010 - Liverpool, United Kingdom
    Duration: Jul 28 2010Jul 30 2010

    Publication series

    NameProceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010

    Other

    Other2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
    Country/TerritoryUnited Kingdom
    CityLiverpool
    Period7/28/107/30/10

    Keywords

    • Arabic OCR
    • Farsi/Persian OCR
    • HDL models
    • Hand-writing recognition
    • Hardware implementation
    • Optical character recognition (OCR)
    • Text recognition
    • Urdu OCR

    ASJC Scopus subject areas

    • Hardware and Architecture
    • Computer Networks and Communications

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