DocumentCode :
2409555
Title :
Online Signature Verification Algorithm Using Hill-Climbing Method
Author :
Muramatsu, Daigo
Author_Institution :
Dept. of Electr. & Mech. Eng., Seikei Univ., Musashino
Volume :
2
fYear :
2008
fDate :
17-20 Dec. 2008
Firstpage :
133
Lastpage :
138
Abstract :
Attacks using hill-climbing methods have been reported as a vulnerability of biometric authentication systems. In this paper, the author proposes a robust online signature verification algorithm against attacks using the hill-climbing method. Specifically, the attack considered in this paper is a hill-climbing forged data attack. Artificial forgeries are generated by using the hill-climbing method and the forgeries are input to a target system to be attacked. In order to generate a robust algorithm, the author proposes incorporating the hill-climbing method into an online signature verification algorithm. Preliminary experiments were performed using several online signature databases. The results show that the proposed algorithm improved the performance against this kind of attack. Equal Error Rate (EER) was improved from 88.3% to 1.2% when using a private database for evaluation.
Keywords :
fraud; handwriting recognition; artificial forgery; biometric person authentication system; equal error rate; hill-climbing forged data attack; online signature database; online signature verification algorithm; Authentication; Biometrics; Data mining; Databases; Feature extraction; Forgery; Handwriting recognition; Mechanical engineering; Robustness; Ubiquitous computing; Biometrics; Hill-Climbing; Online Signature Verification; Vulnerability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Ubiquitous Computing, 2008. EUC '08. IEEE/IFIP International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3492-3
Type :
conf
DOI :
10.1109/EUC.2008.84
Filename :
4755219
Link To Document :
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