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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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