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Handwriting signature is an important approach for biometric personal identification. In this paper, a new method is provided to extract signature characteristic through wavelet transform. At first, a series of 4th order B-spline wavelet is constructed on the basis of B-spline function. After applying wavelet transform to each stroke, stable signature character is synthesized. The performance of derived method is demonstrated by computer simulations.

Biometric Personal Identification Based on Chinese Handwriting Signature