A binarization method is presented to counter the stroke connectivity problems of characters arising from mid-level-quality binary image scanning systems. In the output of a binary image scanning system, separate strokes may look connected if the point size is small and the character strokes are complex while strokes may lose connectivity if they are generated at low intensity. Also, erroneous recognition may result if a blemished document surface distorts the image. To counter these problems and to further enhance the quality of character recognition, the authors have developed an integrated binarization scheme, exploiting synergistic use of an adaptive thresholding technique and variable histogram equalization. This algorithm is composed of two components. The first removes background noise via gray level histogram equalization while the second enhances the gray level of characters over and above the surrounding background via an edge image composition technique.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Improved binarization algorithm for document image by histogram and edge detection


    Contributors:
    Moon-Soo Chang (author) / Sun-Mee Kang (author) / Woo-Sik Rho (author) / Heok-Gu Kim (author) / Duck-Jin Kim (author)


    Publication date :

    1995-01-01


    Size :

    369997 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Improved Binarization Algorithm for Document Image by Histogram and Edge Detection

    Chang, M.-S. / Kang, S.-M. / Rho, W.-S. et al. | British Library Conference Proceedings | 1995



    A System for Document Binarization

    Badekas, E. / Papamarkos, N. / IEEE | British Library Conference Proceedings | 2003


    A system for document binarization

    Badekas, E. / Papamarkos, N. | IEEE | 2003


    Preliminary evaluation of histogram-based binarization algorithms [2422-23]

    Kanai, J. / Grover, K. O. / SPIE | British Library Conference Proceedings | 1995