Palm print recognition using log Gabor Filter

Palm print recognition is one of the most widely researching areas in security and criminal detection. All the things hold by hands so that more importance is given to the palm print recognition because palm has so many variations for person to person comparatively finger. This paper presented Gabor convolve method for Palm print recognition. We have taken four palms of a person from Singapore polytechnic database, two palms for training and two palms for testing. Palm cropping is old technique so we are not using palm crop technique in this paper. We are directly taking cropped database and using the above mention techniques on those palms we have measured the efficiency of techniques. We have achieved 92.50% efficiency of Gabor convolve technique. These tests have performed over 20 users. There is so much light palm of woman so the challenges will high for recognition of a palm. KeywordsGabor, Neural Network, Biometric, Crime.

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