SciELO - Scientific Electronic Library Online

 
vol.15 número3Control Difuso de Flujo de Fluidos en una Estación de LaboratorioEstabilidad de Pigmentos en Frutas Sometidas a Tratamiento con Energía de Microondas índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Información tecnológica

versión On-line ISSN 0718-0764

Resumen

CRUZ, C; REYES, R; NAKANO, M  y  PEREZ, H.M.. Signature Verification using the Gabor Transform. Inf. tecnol. [online]. 2004, vol.15, n.3, pp. 53-60. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642004000300008.

This paper proposes an off-line signature verification system with fairly good detection capacity against expert forgeries. The feature extraction stage of the proposed system, estimates the coefficients of the Gabor Transform in each local region of the signature image, and extracts the positions of relevant coefficients. These provide local information about frequency and orientation of the signature image texture. Using the extracted features, the proposed system adapts a back-propagation multiplayer neural network with 9-9-2 architecture for each signer. The proposed system was evaluated using 30 genuine signatures and 20 expert forgeries for each signer. The computer simulation results show a 90% overall success, with a lower computational complexity

Palabras clave : off-line signature verification; Gabor transform; neural networks; pattern recognition.

        · resumen en Español     · texto en Español