A novel local on-line signature verification system
Pattern Recognition Letters
Ensemble of on-line signature matchers based on OverComplete feature generation
Expert Systems with Applications: An International Journal
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Biometrics and Identity Management
Practical On-Line Signature Verification
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A novel criterion for writer enrolment based on a time-normalized signature sample entropy measure
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Expert Systems with Applications: An International Journal
Behavior detection using confidence intervals of hidden Markov models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Online signature verification using Fourier descriptors
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Cancelable templates for sequence-based biometrics with application to on-line signature recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Online signature verification with support vector machines based on LCSS kernel functions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Fast on-line signature recognition based on VQ with time modeling
Engineering Applications of Artificial Intelligence
On measuring forgery quality in online signatures
Pattern Recognition
Universal forgery features idea: a solution for user---adjusted threshold in signature verification
Transactions on Computational Collective Intelligence IX
A mobile contactless point of sale enhanced by the NFC and biometric technologies
International Journal of Internet Technology and Secured Transactions
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This paper describes a system using two complementary sorts of information issuing from a hidden Markov model (HMM) for online signature verification. At each point of the signature, 25 features are extracted. These features are normalized before training and testing in order to improve the performance of the system. This normalization is writer-dependent; it exploits only five genuine signatures used to train the writer HMM. A claimed identity is confirmed when the arithmetic mean of two similarity scores, obtained on an input signature, is higher than a threshold. The first score is related to the likelihood given by the HMM of the claimed identity; the second score is related to the segmentation given by such an HMM on the input signature. A personalized score normalization is also proposed before fusion. Our approach is evaluated on several online signature databases, such as BIOMET, PHILIPS, MCYT, and SVC2004, which were captured under different acquisition conditions. For the first time in signature verification, we show that the fusion of segmentation-based information generated by the HMM with likelihood-based information considerably improves the quality of the verification system. Finally, owing to our two-stage normalization (at the feature and score levels), we show that our system results in more stable client-score distributions across databases and in a better separation between the distributions of client and impostor scores.