TY - GEN
T1 - Bayesian MCMC for biometric person authentication incorporating on-line signature trajectories
AU - Kondo, Mitsuru
AU - Muramatsu, Daigo
AU - Sasaki, Masahiro
AU - Matsumoto, Takashi
PY - 2003/12/1
Y1 - 2003/12/1
N2 - Authentication of individuals is rapidly becoming an important issue. The authors have previously proposed a pen-input online signature verification algorithm. The algorithm considers writer's signature as a trajectory of pen-position, pen-pressure and pen-inclination which evolves over time, so that it is dynamic and biometric. In our previous work, genuine signatures were separated from forgery signatures in a linear manner. This paper proposes a new algorithm which performs nonlinear separation using Bayesian MCMC (Markov Chain Monte Carlo). A preliminary experiment is performed on a database consisting of 1825 genuine signatures and 4117 skilled forgery signatures from fourteen individuals. FRR 0.81% and FAR 0.87% are achieved. Since no fine tuning was done, this preliminary result looks very promising.
AB - Authentication of individuals is rapidly becoming an important issue. The authors have previously proposed a pen-input online signature verification algorithm. The algorithm considers writer's signature as a trajectory of pen-position, pen-pressure and pen-inclination which evolves over time, so that it is dynamic and biometric. In our previous work, genuine signatures were separated from forgery signatures in a linear manner. This paper proposes a new algorithm which performs nonlinear separation using Bayesian MCMC (Markov Chain Monte Carlo). A preliminary experiment is performed on a database consisting of 1825 genuine signatures and 4117 skilled forgery signatures from fourteen individuals. FRR 0.81% and FAR 0.87% are achieved. Since no fine tuning was done, this preliminary result looks very promising.
KW - Bayes
KW - Biometrics
KW - Markov Chain Monte Carlo
KW - Pattern recognition
KW - Person authentication
KW - Signature verification
UR - http://www.scopus.com/inward/record.url?scp=1542433788&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=1542433788&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:1542433788
SN - 0889863784
T3 - Proceedings of the IASTED International Conference on Signal Processing, Pattern Reconition, and Applications
SP - 269
EP - 273
BT - Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
A2 - Hamza, M.H.
T2 - Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Y2 - 30 June 2003 through 2 July 2003
ER -