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This paper proposes an efficient palmprint based verification system which is robust to rotation, scale and occlusion. Images are obtained using a flat bed scanner. Scale invariant feature transform (SIFT) operator is used to extract features from the palmprint. Nearest neighbor ratio method is used to determine the similarity between extracted features of live and enrolled palmprints and to make...
This paper describes the design and development of a prototype of robust biometric system for personnel verification. The system uses features extracted using scale invariant feature transform (SIFT) operator of human hand. The hand image for features is acquired using a low cost scanner. The palmprint region extracted is robust to hand translation and rotation on the scanner. The use of SIFT operator...
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