The objective of this paper is to present a number of features that can be extracted from handwritten digits and used for author verification or identification of a person's handwriting. The features under consideration are mainly computational features some of which cannot be easily evaluated by humans. On the other hand, these features can be extracted by computer algorithms with a high degree of accuracy. The eleven features used are described. All features were appropriately binarized so that binary feature vectors of constant lengths could be formed. These vectors were then used for author discrimination, using the Hamming distance measure. For this task a writer database consisting of 15 writers was created. Each writer was asked to write random strings of 0 to 9 at least 10 times. The results indicate that the combined features work well at discriminating writers and warrant further detailed investigation. Although the set of features was designed for dealing with handwritten digits (as may be written on cheques), it may also be used for isolated alphabetic characters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Writer identification using innovative binarised features of handwritten numerals


    Contributors:
    Leedham, G. (author) / Chachra, S. (author)


    Publication date :

    2003-01-01


    Size :

    252362 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Writer Identification Using Innovative Binarised Features of Handwritten Numerals

    Leedham, G. / Chachra, S. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003



    Evaluation of Codes and Primitives: Recognition of Unconstrained Handwritten Numerals

    Feray, N. / De Brucq, D. / Romeo-Pakker, K. et al. | British Library Conference Proceedings | 1995


    A Multi-Layer Classifier for Recognition of Unconstrained Handwritten Numerals

    Wang, G.-E. / Wang, J.-F. | British Library Conference Proceedings | 1995


    Evaluation of codes and primitives: recognition of unconstrained handwritten numerals

    Feray, N. / de Brucq, D. / Romeo-Pakker, K. et al. | IEEE | 1995