Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44109
Title: Offline geometric parameters for automatic signature verification using fixed-point arithmetic
Authors: Ferrer, Miguel A. 
Alonso, Jesús B. 
Travieso, Carlos M. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Handwriting recognition , Fixed-point arithmetic , Forgery , Hidden Markov models , Support vector machines , Support vector machine classification , Shape , Testing , Euclidean distance , Writing, Automatic Signature Verification (ASV) , Hidden Markov Models (HMM) , Support Vector Machines (SVM) , fixed-point arithmetic.
Issue Date: 2005
Publisher: 0162-8828
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence 
Abstract: This paper presents a set of geometric signature features for offline automatic signature verification based on the description of the signature envelope and the interior stroke distribution in polar and Cartesian coordinates. The features have been calculated using 16 bits fixed-point arithmetic and tested with different classifiers, such as hidden Markov models, support vector machines, and Euclidean distance classifier. The experiments have shown promising results in the task of discriminating random and simple forgeries.
URI: http://hdl.handle.net/10553/44109
ISSN: 0162-8828
DOI: 10.1109/TPAMI.2005.125
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence[ISSN 0162-8828],v. 27, p. 993-997
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