On-line signature verification method utilizing feature extraction based on DWT

Author

Nakanishi, I. ; Nishiguchi, N. ; Itoh, Y. ; Fukui, Y.

Author_Institution

Fac. of Educ. & Regional Sci., Tottori Univ., Japan

Volume

4

fYear

2003

fDate

25-28 May 2003

Abstract

In this paper, we propose a new signature verification method. Parameters of the on-line signature are decomposed into multilevel signals by utilizing the DWT (discrete wavelet transform). Personal features are emphasized by the DWT sub-band decomposition and extracted. The extracted features are verified using the adaptive algorithm. We also propose a method which is robust to fluctuation of the number of strokes by using DP (dynamic programming) matching. Through computer simulations, the effectiveness of this proposed method is confirmed.

Keywords

adaptive signal processing; discrete wavelet transforms; dynamic programming; feature extraction; handwriting recognition; pattern matching; DWT based feature extraction; DWT sub-band decomposition; adaptive algorithm; discrete wavelet transform; dynamic programming matching; multilevel signals; online signature verification method; stroke fluctuation; Adaptive algorithm; Biometrics; Computer simulation; Discrete wavelet transforms; Feature extraction; Fluctuations; Forgery; Handwriting recognition; Personal digital assistants; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on

Print_ISBN

0-7803-7761-3

Type

conf

DOI

10.1109/ISCAS.2003.1205776

Filename

1205776