Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to variable and feature selection
The Journal of Machine Learning Research
Identity authentication using improved online signature verification method
Pattern Recognition Letters
Biometrics: Personal Identification in Networked Society
Biometrics: Personal Identification in Networked Society
On-line signature recognition based on VQ-DTW
Pattern Recognition
HMM-based on-line signature verification: Feature extraction and signature modeling
Pattern Recognition Letters
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
An on-line signature verification system based on fusion of local and global information
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
Fusion of local and regional approaches for on-line signature verification
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
On Using the Viterbi Path Along With HMM Likelihood Information for Online Signature Verification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Fast on-line signature recognition based on VQ with time modeling
Engineering Applications of Artificial Intelligence
Universal forgery features idea: a solution for user---adjusted threshold in signature verification
Transactions on Computational Collective Intelligence IX
Hi-index | 0.00 |
A new DTW-based on-line signature verification system is presented and evaluated. The system is specially designed to operate under realistic conditions, it needs only a small number of genuine signatures to operate and it can be deployed in almost any signature capable capture device. Optimal features sets have been obtained experimentally, in order to adapt the system to environments with different levels of security. The system has been evaluated using four on-line signature databases (MCYT, SVC2004, BIOMET and MyIDEA) and its performance is among the best systems reported in the state of the art. Average EERs over these databases lay between 0.41% and 2.16% for random and skilled forgeries respectively.