Title | ||
---|---|---|
On-Line Signature Verification Based on Discrete Wavelet Domain Adaptive Signal Processing |
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%. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/978-3-540-25948-0_80 | BIOMETRIC AUTHENTICATION, PROCEEDINGS |
Keywords | Field | DocType |
adaptive signal processing,time domain,high frequency,discrete wavelet transform | Signal processing,Discrete-time signal,Computer science,Image processing,Algorithm,Digital signature,Adaptive filter,Discrete wavelet transform,Adaptive algorithm,Wavelet | Conference |
Volume | ISSN | Citations |
3072 | 0302-9743 | 6 |
PageRank | References | Authors |
0.76 | 1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Isao Nakanishi | 1 | 104 | 28.15 |
Naoto Nishiguchi | 2 | 21 | 2.73 |
Yoshio Itoh | 3 | 59 | 18.04 |
Yutaka Fukui | 4 | 55 | 12.83 |