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Faces are highly deformable objects which may easily change their appearance over time. Not all face areas are subject to the same variability. Therefore decoupling the information from independent areas of the face is of paramount importance to improve the robustness of any face recognition technique. This paper presents a robust face recognition technique based on the extraction and matching of...
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...
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