Authors
    Qu, Tong
    El Saddik, Abdulmotaleb
    Adler, Andy
Institution
    Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada.
Title
    Dynamic signature verification system using stroked based features
Source
Conference Information
    IEEE Workshop on Haptic, Audio and Visual Environments
    and Their Applications,
    Ottawa, Canada, 20-21 Sept. 2003.
    pp. 83-88
Abstract
    This paper presents a novel feature-based dynamic signature
    verification system. Data is acquired from a Patriot digital pad,
    using the Windows Pen API. The signatures are analyzed d ynamically
    by considering their spatial and time domain characteristics. A
    strok e-based feature extraction method is studied, in which strokes
    are separated by the zero pressure points. Between each pair of
    signatures, the correlation compa risons are conducted for strokes. A
    significant stroke is discriminated by the m aximum correlation with
    respect to the reference signatures. The correlation val ue and stroke
    length for the significant strokes are extracted as features for
    i dentifying genuine signatures against forgeries. The membership
    function and cla ssifier are modeled based on the probabilistic
    distribution of selected features . Experimental results were
    obtained for signatures from 20 volunteers. The curr ent 6-feature
    based signature verification system was calculated to have a false
    accept rate of 1.67% and false reject rate of 6.67%.