International Journal of Computer Applications
A signature is a simple, concrete expression of the unique variations in human hand geometry. The way a person signs the user name is known to be characteristic of that individual. Automatic signature verification is a well-established and an active area of research with numerous applications such as bank check verification, ATM access, etc. This paper proposes a novel approach to the problem of automatic off-line signature verification and forgery detection. The authors have designed offline Signature Verification and Recognition System (SVRS) using Adaptive Resonance Theory-1 (ART-1). In this paper, a standard database of 250 signatures is used for calculating the performance of SVRS.