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


Ismail A. Ismail, Mohamed A. Ramadan, Talaat S. El-Danaf, Ahmed H. Samak


Vol. 10  No. 5  pp. 29-35


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%.


signature recognition, Fourier Descriptor, Principle Component Analysis, personal verification