Off-line Chinese signature verification based on the improved support vector machine

Qiu Xiao-chu · Electronic Design Engineering · 2012

By using the support vector machine algorithm of off-line Chinese signature verification.The support vector machine algorithm,rough set and support vector machine combination,using rough set theory to data attributes,to a certain extent reduced support vector machine solving calculation.Not only can the feature extraction in a number of disaster,but also improves the training time.The experimental results show that: the rough set and support vector machine algorithm is applied to off-line signature recognition,in the same condition recognition effect is better than the algorithm of support vector machine.

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