A neural network approach to off-line signature verification using directional PDF

PATTERN RECOGNITION

卷:29

Article

关键词: pattern recognition;    classifiers;    neural networks;    backpropagation;    automatic signature verification;    directional probability density function;   

DOI  :  10.1016/0031-3203(95)00092-5

来源: Elsevier

【 摘 要 】

A neural network approach is proposed to build the first stage of an Automatic Handwritten Signature Verification System. The directional Probability Density Function was used as a global shape factor and its discriminating power was enhanced by reducing its cardinality via filtering. Various experimental protocols were used to implement the backpropagation network (BPN) classifier. A comparison, on the same database and with the same decision rule, shows that the BPN classifier is clearly better than the threshold classifier and compares favourably with the k-Nearest-Neighbour classifier.

【 授权许可】

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