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In order to meet the application requirements regarding universality, permanence and performance, many multimodal biometric approaches have been proposed in recent decades. In these approaches, fused templates are stored unprotected as biometric reference in a token or database. Once the database is compromised, the attacker can potentially learn details that are sensitive to the data subject and...
As one of biometric technologies for personal identification and verification, many algorithm for iris recognition are proposed in recent decades. In these algorithms, iris templates are stored uncovered in the database. Once the database is compromised, the attackers can potentially obtain sufficient information to impersonate the users. This paper proposes a novel template protection algorithm for...
The face image database is essential to evaluate the face detection and recognition algorithms. Out-of-focus blur is one of the important factors which may influence the detection and recognition results. To investigate the effect of out-of-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-of-focus blur was built. Two typical acquisition...
Face Image Retrieval is an important application of Content-Based Image Retrieval. A more practical model of face image retrieval system is analyzed in this paper. Moreover a suitable algorithm based on power law transformation(PLT) is introduced. The feature space is spanned by the training set enlarged from the input query image rather than images in the retrieving dataset. Experiments and comparison...
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