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    University of Silesia, Somputer Sciences Faculty, Sosnowiec, Poland

    The Compact Three Stages Method of the Signature Recognition

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    In this paper the off-line type signature analysis have been considered. Signature image by means of three different approaches is analysed, what allows to define features (weights) of the signature. Different influences of such features were tested and stated. In this paper, personal signature is pre-processed and in the three stages signature is processed. In proposed approach the Hough transform is introduced, centre of signature gravity is determined, and the horizontal and vertical signature histograms are performed. Proposed approach gives good signature recognition level, hence described method can be used in many areas, for example in biometric authentication, as biometric computer protection or as method of the analysis of person's behaviour changes.

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    Description

    Title : The Compact Three Stages Method of the Signature Recognition
    Author(s) : Piotr Porwik
    Abstract : In this paper the off-line type signature analysis have been considered. Signature image by means of three different approaches is analysed, what allows to define features (weights) of the signature. Different influences of such features were tested and stated. In this paper, personal signature is pre-processed and in the three stages signature is processed. In proposed approach the Hough transform is introduced, centre of signature gravity is determined, and the horizontal and vertical signature histograms are performed. Proposed approach gives good signature recognition level, hence described method can be used in many areas, for example in biometric authentication, as biometric computer protection or as method of the analysis of person's behaviour changes.
    Keywords : Hough transform, Signature recognition, centre of gravity, histograms, person's identification., pre-processing

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2007

    Affiliations University of Silesia, Somputer Sciences Faculty, Sosnowiec, Poland
    Publisher : IEEE
    Pages : 282 - 287
    Url : http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=4273535
    Isbn : 0-7695-2894-5
    Doi : 10.1109/CISIM.2007.65

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