DocumentCode :
2418039
Title :
A new on-line signature verification algorithm using Hilbert Scanning patterns
Author :
Ahrary, Alireza ; Kamata, Sei-ichro
Author_Institution :
Inf. Production & Syst. Res. Center, Waseda Univ., Kitakyushu, Japan
fYear :
2009
fDate :
25-28 May 2009
Firstpage :
276
Lastpage :
279
Abstract :
Signature verification is a challenging task, because only a small set of genuine samples can be acquired and usually no forgeries are available in real application. In this paper, we propose a new function-based method with Hilbert scanning patterns for automatic on-line signature verification. The proposed method is compared to other state-of-the-art methods based on the results of the first international signature verification competition (SVC 2004). Experiments are conducted to verify the effectiveness of our method.
Keywords :
Hilbert transforms; feature extraction; handwriting recognition; Hilbert scanning pattern; feature extraction; first international signature verification competition; function-based method; image acquisition; on-line signature verification algorithm; Acceleration; Biometrics; Cities and towns; Data mining; Forgery; Handwriting recognition; Hidden Markov models; Production systems; Shape; Writing; Gaussians Mixture Models (GMM); Hilbert Scanning patterns; Signature verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, 2009. ISCE '09. IEEE 13th International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-2975-2
Electronic_ISBN :
978-1-4244-2976-9
Type :
conf
DOI :
10.1109/ISCE.2009.5157062
Filename :
5157062
Link To Document :
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