A new approach to segmentation of machine printed Gurmukhi text has been suggested. This approach can easily be extended to other Indian language scripts such as Devnagri and Bangla. Most of the characters in these scripts have horizontal lines at the top called headlines. Besides, there are cases in which the characters are found touching in the scanned image, just below the headline. To resolve these issues, a two-pass mechanism is used. In pass-one it approximates the segmentation point, while in pass-two the cutting point is optimized. This approach has been very successful in segmenting a pair as well as triplets of touching characters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A hybrid approach to character segmentation of Gurmukhi script characters


    Contributors:
    Davessar, N.M. (author) / Madan, S. (author) / Hardeep Singh, (author)


    Publication date :

    2003-01-01


    Size :

    242778 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Hybrid Approach to Character Segmentation of Gurmukhi Script Characters

    Davessar, N. / Madan, S. / Singh, H. | British Library Conference Proceedings | 2004


    Online Handwritten Gurmukhi Character Recognition Using Elastic Matching

    Sharma, Anuj / Kumar, Rajesh / Sharma, R. K. | IEEE | 2008


    Segmentation and Recognition of Touching Characters in Computer-Aided Optical Character Reading Systems

    Kochergov, E. G. / Stankevich, Y. A. / Strechen, N. A. | British Library Online Contents | 1998


    Cursive Arabic Script Segmentation and Recognition System

    Sari, T. / Sellami, M. | British Library Online Contents | 2005