Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44069
Title: Offline signature verification based on pseudo-cepstral coefficients
Authors: Vargas, Jesus F.
Ferrer, Miguel A. 
Travieso, Carlos M. 
Alonso, Jesus B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Handwriting recognition , Image analysis , Information analysis , Gray-scale , Histograms , System performance , Image databases , Spatial databases , Robustness , Forgery ,Offline signature verification , ls-svm
Issue Date: 2009
Publisher: 1520-5363
Journal: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Conference: ICDAR2009 - 10th International Conference on Document Analysis and Recognition 
Abstract: Features representing information about pressure distribution from a static image of a handwritten signature are analyzed for an offline verification system. From gray-scale images, its histogram is calculated and used as "spectrum'' for calculation of pseudo-cepstral coefficients. Finally, the unique minimum-phase sequence is estimated and used as feature vector for signature verification. The optimal number of pseudo-coefficients is estimated for best system performance. Experiments were carried out using a database containing signatures from 100 individuals. The robustness of the analyzed system for simple forgeries is tested out with a LS-SVM model. For the sake of completeness, a comparison of the results obtained by the proposed approach with similar works published using pseudo-dynamic feature for offline signature verification is presented.
URI: http://hdl.handle.net/10553/44069
ISBN: 9780769537252
ISSN: 1520-5363
DOI: 10.1109/ICDAR.2009.68
Source: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR[ISSN 1520-5363] (5277766), p. 126-130
Appears in Collections:Actas de congresos
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