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