In this paper, a new on-line handwritten signature verification system using Hidden Markov Model (HMM) is presented. The proposed system segments each signature based on its perceptually important points and then computes for each segment a number of features that are scale and displacement invariant. The resulted sequence is then used for training an HMM to achieve signature verification. Our database includes 622 genuine signatures and 1010 forgery signatures that were collected from a population of 69 human subjects. Our verification system has achieved a false acceptance rate (FAR) of 4% and a false rejection rate (FRR) of 12%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A new online signature verification algorithm using variable length segmentation and hidden Markov models


    Beteiligte:
    Shafiei, M.M. (Autor:in) / Rabiee, H.R. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    285872 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A New On-Line Signature Verification Algorithm Using Variable Length Segmentation and Hidden Markov Models

    Shafiei, M. / Rabiee, H. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2003



    Text-indicated writer verification using hidden Markov models

    Yamazaki, Y. / Nagao, T. / Komatsu, N. | IEEE | 2003


    Text-Indicated Writer Verification Using Hidden Markov Models

    Yamazaki, Y. / Nagao, T. / Komatsu, N. et al. | British Library Conference Proceedings | 2003


    An On-Line Signature Verification System Using Hidden Markov Model in Polar Space

    Yoon, H. S. / Lee, J. Y. / Yang, H. S. | British Library Conference Proceedings | 2002