A NOVEL BIOMETRIC RECOGNITION USING SCLERA VEIN AND FINGER VEIN FUSION
Dharisanapriya R
M.E Computer Science and Engineering, K.S.Rangasamy College of Technology, Tiruchengode.
Rukumani Khandhan C
Assistant Professor, Computer Science and Engineering, K.S.Rangasamy College of Technology, Tiruchengode.
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Biometric recognition techniques are mainly used for human identification and authentication. A comprehensive approach for multi biometric recognition is designed by fusion of finger vein and sclera vein. Sclera vein and finger vein is a new parallel vein recognition method using a two-stage parallel approach for registration and matching. The proposed method can achieve dramatic processing speed improvement without compromising the recognition accuracy. The proposed approach combines finger vein approach and sclera vein approach. The frequency based approach is used to achieve the combination of both approaches which is based on identical biometric vector. Two new score-level combinations, holistic and nonlinear fusion is to be developed and investigated, then comparatively evaluate with more popular score-level fusion approaches to ascertain their effectiveness in the proposed system. The process offers a state-of-the-art advancement of multi biometrics, offering an original view point on features fusion. Consecutively, a hamming-distance-based matching algorithm deals with the combined homogenous biometric vector. Thus, the multimodal system achieves interesting results with several commonly used databases.
Keywords: Vein Segmentation; Vein Feature Extraction; Fusion Vein Matching
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