|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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