This paper present a novel off-line signature recognition method based on multi scale Fourier Descriptor and wavelet transform . The main steps of constructing a signature recognition system are discussed and experiments on real data sets show that the average error rate can reach 1%. Finally we compare 8 distance measures between feature vectors with respect to the recognition performance. Key words: signature recognition; Fourier Descriptor; Wavelet transform; personal verification
@article{arxiv.1004.1227,
title = {Signature Recognition using Multi Scale Fourier Descriptor And Wavelet Transform},
author = {Ismail A. Ismail and Mohammed A. Ramadan and Talaat S. El danaf and Ahmed H. Samak},
journal= {arXiv preprint arXiv:1004.1227},
year = {2010}
}
Comments
IEEE Publication format, ISSN 1947 5500, http://sites.google.com/site/ijcsis/