Signature verification based on distortion measure and spectral correlation

Chi-Jain Wen; Ming-Wen Chang; Bor-Shenn Jeng; Hon-Fai Yau

doi:10.1117/12.217407

22 August 1995 Signature verification based on distortion measure and spectral correlation

Chi-Jain Wen, Ming-Wen Chang, Bor-Shenn Jeng, Hon-Fai Yau

Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217407
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

In the development of an automatic signature verification system, the primary problem that must be resolved first is to find out a stable signature feature. In this paper, a simple and flexible distortion measurement approach is proposed to resolve the instability problem of signatures. The total distortion between an input signature and a template signature is a combination of both static and dynamic distortions. We also select some features from the fast Fourier transform (FFT) spectrum by a window function and a special weighting function. The linear correlation is used to find out the similarity between the spectrum of an imput signature and the spectrum of the template signature. Experimental results have shown that the two- layers' decision process has a high verification rate.

Citation Download Citation

Chi-Jain Wen, Ming-Wen Chang, Bor-Shenn Jeng, and Hon-Fai Yau "Signature verification based on distortion measure and spectral correlation", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217407

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