MATCHING ALGORITHM USING WAVELET THINNING FEATURES FOR OFFLINE SIGNATURE VERIFICATION

Author:

FANG BIN1,YOU XINGE23,CHEN WEN-SHENG4,TANG YUAN YAN3

Affiliation:

1. College of Computer Science and Information Engineering, Chongqing Technology and Business University, Chongqing, 400067, P. R. China

2. Faculty of Mathematics and Computer Science, Hubei University, 430062, P. R. China

3. College of Computer Science, Chongqing University, Chongqing, 400044, P. R. China

4. College of Mathematics and Computing Science, Shenzhen University, Shenzhen, 518060, P. R. China

Abstract

Structure distortion evaluation allows us to directly measure the similarity between signature patterns without classification using feature vectors, which usually suffers from limited training samples. In this paper, we incorporate the merits of both global and local alignment algorithms to define structure distortion using signature skeletons identified by a robust wavelet thinning technique. A weak affine model is employed to globally register two signature skeletons and structure distortion between two signature patterns, which are determined by applying an elastic local alignment algorithm. Similarity measurement is evaluated in the form of Euclidean distance of all found corresponding feature points. Experimental results showed that the proposed similarity measurement was able to provide sufficient discriminatory information in terms of equal error rate being 18.6% with four training samples.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Continuous piecewise affine transformation for image registration;International Journal of Wavelets, Multiresolution and Information Processing;2015-01

2. DISCRETE WAVELET TRANSFORM APPLIED ON PERSONAL IDENTITY VERIFICATION WITH ECG SIGNAL;International Journal of Wavelets, Multiresolution and Information Processing;2009-05

3. INVARIANT PATTERN RECOGNITION USING RIDGELET PACKETS AND THE FOURIER TRANSFORM;International Journal of Wavelets, Multiresolution and Information Processing;2009-03

4. WAVELET-FACE BASED SUBSPACE LDA METHOD TO SOLVE SMALL SAMPLE SIZE PROBLEM IN FACE RECOGNITION;International Journal of Wavelets, Multiresolution and Information Processing;2009-03

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