An Efficient Off-line Signature Identification Method Based On Fourier Descriptor and

Abstract

Summary This paper presents a novel off-line signature identification method based on Fourier Descriptor ( FDs ) and Chain Codes features. Signature identification classified into two different problems: recognition and verification. In recognition process we used Principle Component Analysis. In verification process we designed a multilayer feed forward artificial neural network. The main steps of constructing a signature identification system are discussed and experiments on real data sets show that the average error rate can reach 3.8%