Signature Recognition and Verification with ANN Using Moment Invariant Method
In this paper, we present an off-line signature recognition and verification system which is based on moment invariant method and ANN. Two separate neural networks are designed; one for signature recognition, and another for verification (i.e. for detecting forgery). Both networks use a four-step process. First step is to separate the signature from its background. Second step performs normalization and digitization of the original signature. Moment invariant vectors are obtained in the third step. And the last step implements signature recognition and verification.
C. Oz and F. Erçal, "Signature Recognition and Verification with ANN Using Moment Invariant Method," Intelligent Engineering Systems Through Artificial Neural Networks, American Society of Mechanical Engineers (ASME), Jan 2003.
Mechanical and Aerospace Engineering
Keywords and Phrases
ANN; Computer Vision; Moment Invariants; Signature Recognition; Signature Verification
Article - Conference proceedings
© 2003 American Society of Mechanical Engineers (ASME), All rights reserved.
01 Jan 2003