Floating search methods in feature selection
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Identity authentication using improved online signature verification method
Pattern Recognition Letters
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Off-line signature verification using DTW
Pattern Recognition Letters
A novel local on-line signature verification system
Pattern Recognition Letters
Over-complete feature generation and feature selection for biometry
Expert Systems with Applications: An International Journal
Score normalization in multimodal biometric systems
Pattern Recognition
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
Target dependent score normalization techniques and their application to signature verification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
On Using the Viterbi Path Along With HMM Likelihood Information for Online Signature Verification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Biometric cryptosystem using function based on-line signature recognition
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Dynamic signature recognition based on modified windows technique
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
On-line signature verification using vertical signature partitioning
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
A novel method for building an ensemble of on-line signature verification systems based on one-class classifiers is presented. The ensemble is built concatenating the classifiers obtained by the Random Subspace on the ''original features'' and a set of classifiers each trained selecting a different set of ''artificial features'' for each different subset of users that belong to the validation set. The ''artificial features'' are extracted using an OverComplete global feature combination, starting from a set of global features a set of artificial features is created by applying mathematical operators to a randomly extracted set of the original ones, then a small subset is selected for verification by running sequential forward floating selection (SFFS). Finally a set of One-class classifiers are used to classify, between genuine and impostor, each match between two signatures. As dataset the MCYT signature database is used, our results show that the proposed ensemble outperforms the ensembles based only on the original features. Using only 5 genuine signatures for each user our best system obtains an equal error rate of 4.5 in the skilled forgeries and 1.4 in the Random Forgeries, when 20 genuine signatures are used to train the classifiers an equal error rate of 2.2 in the skilled forgeries and 0.5 in the Random Forgeries are obtained.