Naoto Nishiguchi

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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(More)
In order to reduce the computational complexity of the DWT domain on-line signature verification, the authors propose to utilize the pen-movement vector as an input parameter. Experimental results indicate that the verification rate obtained using the pen-movement vector parameter is equivalent to that obtained by the conventional method, although the(More)
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