Article ID Journal Published Year Pages File Type
10361550 Pattern Recognition Letters 2005 9 Pages PDF
Abstract
The SVM is a new classification technique in the field of statistical learning theory which has been applied with success in pattern recognition applications like face and speaker recognition, while the HMM has been found to be a powerful statistical technique which is applied to handwriting recognition and signature verification. This paper reports on a comparison of the two classifiers in off-line signature verification. For this purpose, an appropriate learning and testing protocol was created to observe the capability of the classifiers to absorb intrapersonal variability and highlight interpersonal similarity using random, simple and simulated forgeries.
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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