Title :
Optimal user weighting fusion in DWT domain on-line signature verification
Author :
NAKANISHI, Isao ; Sakamoto, Hiroyuki ; Itoh, Yoshio ; Fukui, Yutaka
Author_Institution :
Fac. of Regional Sci., Tottori Univ., Japan
Abstract :
An on-line signature verification method in the DWT domain has been proposed. The time-varying pen-position signal of the on-line signature is decomposed into sub-band signals by using the DWT. Individual features are extracted as high frequency signals in the sub-band. By using the extracted features, verification is achieved at each sub-band and then a total decision is taken by combining such verification results. In this paper, we introduce a user weighting fusion into the total decision. Through verification experiments, it is confirmed that there is an optimal weight combination for each user and the verification rate can be improved when the optimal weight combination is applied.
Keywords :
discrete wavelet transforms; feature extraction; handwriting recognition; optimisation; DWT; on-line signature verification; sub-band decomposition; sub-band high frequency signal feature extraction; time-varying pen-position signals; user weighting fusion optimization; verification rate; Adaptive signal processing; Biometrics; Discrete wavelet transforms; Feature extraction; Frequency; Handwriting recognition; Personal digital assistants; Signal processing algorithms; Wavelet domain; Writing;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1464933