Abstract
This paper presents the on-line signature verification method based on the Discrete Wavelet Transform (DWT) and the adaptive signal processing. Time-varying pen-position signals of the on-line signature are decomposed into sub-band signals by using the DWT. Individual features are extracted as high frequency signals in sub-bands. Verification is achieved by utilizing the adaptive algorithm. If the adaptive weight converges on one, the sub-band signal is regarded as of the genuine signature. The total decision for verification is done by averaging verification results and then comparing with a threshold. In this paper, a nonlinear function is introduced to enhance each verification result. Experimental results show that the verification rate is 96%, while that of the time-domain method is 85%.
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© 2004 Springer-Verlag Berlin Heidelberg
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Nakanishi, I., Nishiguchi, N., Itoh, Y., Fukui, Y. (2004). On-Line Signature Verification Based on Discrete Wavelet Domain Adaptive Signal Processing. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_80
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DOI: https://doi.org/10.1007/978-3-540-25948-0_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
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