OFFLINE SIGNATURE VERIFICATION METHOD OF PARALLEL PROCESSING USING ANGLE FEATURE, PIXEL DENSITY FEATURE , CHAIN CODE AND MIXED FEATURE
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 4, Issue 8
Abstract
Signature recognition by computer processing has been approached as soon as the computer technology gave sufficient power for the implementation of image processing techniques. The research work developed can be divided in two categories: on-line and off-line recognition. The performance of signature verification system used neural network. The proposed method was successfully made the offline signature verification with improve the efficiency and accuracy and easily can detected the skilled forgeries. Neural network is used as a classifier for this system. In the results are compared with both the very basic angle, chaincode, energy density method and a mixed feature method of offline signature verification system.
Authors and Affiliations
Raju Pawar *
Keywords
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