Snake models for offline signature verification: a comparative study. (27th August 2009)

• Record Type: Journal Article
• Authors: Velez, J.F.; Sanchez, A.; Moreno, B.; Esteban, J.L.
• Is Part Of: International journal of innovative computing and applications. Volume 2:Number 1(2009)
• Page Start: 34
• Page End: 44
• Publication Date: 2009-08-27
• Subjects: offline signatures -- signature verification -- snakes -- fuzzy logic -- biometrics -- snake algorithms -- snake models -- image analysis; Evolutionary computation -- Periodicals; Neural networks (Computer science) -- Periodicals; Genetic programming (Computer science) -- Periodicals; Biologically-inspired computing -- Periodicals; Swarm intelligence -- Periodicals; Quantum computers -- Periodicals; 006.3
• Languages: English
• ISSNs: 1751-648X

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.