Title: Snake models for offline signature verification: a comparative study

Authors: J.F. Velez, A. Sanchez, B. Moreno, J.L. Esteban

Addresses: Departamento de Ciencias de la Computacion, Rey Juan Carlos University, Madrid, 28933, Spain. ' Departamento de Ciencias de la Computacion, Rey Juan Carlos University, Madrid, 28933, Spain. ' Departamento de Ciencias de la Computacion, Rey Juan Carlos University, Madrid, 28933, Spain. ' Departamento de Ciencias de la Computacion, Rey Juan Carlos University, Madrid, 28933, Spain

Abstract: This paper presents an experimental comparison of different hybrid snake-based algorithms for automatic offline signature verification. Offline signature verification aims to establish the degree of similarity between one given test signature and one reference signature. Our work aims to study how effective introducing fuzziness to tackle this image analysis problem. We developed several hybrid (crisp and fuzzy) snake algorithms adapted to the practical requirements of automatic signature verification. Our work compares different hybrid snake approaches for this verification problem.

Keywords: offline signatures; signature verification; snakes; fuzzy logic; biometrics; snake algorithms; snake models; image analysis.

DOI: 10.1504/IJICA.2009.027995

International Journal of Innovative Computing and Applications, 2009 Vol.2 No.1, pp.34 - 44

Published online: 26 Aug 2009 *

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