On-Line Signature Verification Using Pen-Position, Pen-Pressure and Pen-Inclination Trajectories
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Selection of Points for On-Line Signature Comparison
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Identity authentication using improved online signature verification method
Pattern Recognition Letters
On-line signature recognition based on VQ-DTW
Pattern Recognition
The Concentration of Fractional Distances
IEEE Transactions on Knowledge and Data Engineering
On The Effects of Sampling Rate and Interpolation in HMM-Based Dynamic Signature Verification
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
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
Target dependent score normalization techniques and their application to signature verification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Minimizing spatial deformation method for online signature matching
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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In a previous work a new proposal for an efficient on-line signature recognition system with very low computational load and storage requirements was presented. This proposal is based on the use of size normalized signatures, which allows for similarity estimation, usually based on DTW or HMMs, to be performed by an easy distance calcultaion between vectors, which is computed using fractional distance. Here, a method to select representative features from the normalized signatures is presented. Only the most stable features in the training set are used for distance estimation. This supposes a larger reduction in system requirements, while the system performance is increased. The verification task has been carried out. The results achieved are about 30% and 20% better with skilled and random forgeries, respectively, than those achieved with a DTW-based system, with storage requirements between 15 and 142 times lesser and a processing speed between 274 and 926 times greater. The security of the system is also enhanced as only the representative features need to be stored, it being impossible to recover the original signature from these.