Signature Recognition and Verification with ANN Using Moment Invariant Method

Author

Cemil Oz, Missouri University of Science and TechnologyFollow
Fikret Erçal, Missouri University of Science and TechnologyFollow

Abstract

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.

Recommended Citation

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.

Department(s)

Mechanical and Aerospace Engineering

Second Department

Computer Science

Keywords and Phrases

ANN; Computer Vision; Moment Invariants; Signature Recognition; Signature Verification

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2003 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

01 Jan 2003