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Efficient online signature authentication approach

[+] Author Affiliations
Saidani Kaouther

University of Bordj Bou Arreridj, MSE Laboratory, BP 64, El Anasser, 34030, Algeria

Mostefai Messaoud

University of Bordj Bou Arreridj, MSE Laboratory, BP 64, El Anasser, 34030, Algeria

Bouziane Abderraouf

University of Bordj Bou Arreridj, MSE Laboratory, BP 64, El Anasser, 34030, Algeria

University of Caen, GREYC Laboratory, CNRS UMR 6072, 14032, France

Chahir Youssef

University of Caen, GREYC Laboratory, CNRS UMR 6072, 14032, France

J. Electron. Imaging. 23(6), 063009 (Nov 21, 2014). doi:10.1117/1.JEI.23.6.063009
History: Received March 26, 2014; Accepted October 24, 2014
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Abstract.  Signature authentication systems often have to focus their processing on acquired dynamic and/or static signatures descriptors to authenticate persons. This approach gives satisfactory results in ordinary cases but remains vulnerable against skilled forgeries. This is mainly because there is no relation between the signatory and his signature. We will show that the inclusion of the hand shape in the authentication process will considerably reduce the false acceptance rates of skilled forgeries and improve the authentication accuracy performances. A new online hand signature authentication approach based on both signature and hand shape descriptor is proposed. The signature acquisition is completely transparent, which allows a high level of security against fraudulent imitation attempts. Authentication performances are evaluated with extensive experiments. The obtained test results [equalerrorrate(EER)=2%, genuineacceptancerate(GAR)=96%]confirm the efficiency of the proposed approach.

© 2014 SPIE and IS&T

Citation

Saidani Kaouther ; Mostefai Messaoud ; Bouziane Abderraouf and Chahir Youssef
"Efficient online signature authentication approach", J. Electron. Imaging. 23(6), 063009 (Nov 21, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.6.063009


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