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This paper proposes a novel approach for feature extraction using bit plane slicing. This technique is preferred over some traditional methods of feature extraction using orthogonal and non orthogonal transforms that uses real features. The extracted real features are computationally expensive in terms of time and storage. The proposed iris based biometric system is implemented by localizing the inner...
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...
In this paper, a feature-level fusion approach for improving the efficiency of ear image verification is proposed. SIFT is used to extract the features on a ear images at different pose, which is then merged according to a fusion rule to produce a single feature called the fused template. The similarity of SIFT extracted features of the live image and the enrolled user template in the database is...
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...
This paper proposes an efficient biometric system for personnel identification of an individual. It is based on Karhunen-Loeve and Haar wavelet transform features of human hand. A low cost scanner is used to acquire image for biometric features. The palmprint features which are independent to hand translation and rotation on the scanner are extracted. Fusion at the matching score level is done by...
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