Compared to binary images that most text extraction methods work on, gray scale images provide much more information for the extraction task. On the other hand complication also arises in determining the subject textual content from its background region (i.e. thresholding) before the actual text extraction process can begin. Differing from the usual sequence of processes where document images are binarized before the actual text extraction, this paper proposes a new method by first segmenting individual subject areas with the help of an irregular pyramid to be followed by the binarization process. This permits the focus of attention only on the appropriate subject areas for the binarization process before text recognition. Our method overcomes the difficulty in global binarization to find a single value to fit all. It also avoids the common problem in most local thresholding technique of finding a suitable window size. As shown in our experimented result, our method performed well in both text segmentation and binarization by varying the sequence of processing.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Using irregular pyramid for text segmentation and binarization of gray scale images


    Contributors:


    Publication date :

    2003-01-01


    Size :

    260901 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Using Irregular Pyramid for Text Segmentation and Binarization of Gray Scale Images

    Loo, P. / Tan, C. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003


    Topological methods for the binarization of gray-scale images

    Khromov, D. V. | British Library Online Contents | 2008


    Alternative strategies for irregular pyramid construction

    Ip, H. H. S. / Lam, S. W. C. | British Library Online Contents | 1996


    A Multiresolution Based Approach for Handwriting Segmentation in Gray-scale Images

    Cheriet, M. / Thibault, R. / Sabourin, R. et al. | British Library Conference Proceedings | 1994