Offline Signature Verification Based on Pseudo-Cepstral Coefficients

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.

• Type: Journal
• Year: 2009
• Where: ICDAR
• Authors: Jesus Francisco Vargas Bonilla, Miguel Angel Ferrer-Ballester, Carlos Manuel Travieso-González, Jesus Bernandino Alonso Hernandez
• Keywords: Document Analysis, ICDAR 2009, Offline Signature Verification, Signature, Signature Verification