Youssef Elmir

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—Biometric performance improvement is a challenging task. In this paper, a hierarchical strategy fusion based on multimodal biometric system is presented. This strategy relies on a combination of several biometric traits using a multi-level biometric fusion hierarchy. The multi-level biometric fusion includes a pre-classification fusion with optimal feature(More)
—Feature level based monomodal biometric systems perform person recognition based on a multiple sources of biometric information and are affected by problems like integration of evidence obtained from multiple cues and normalization of features codes since they are heterogeneous, in addition of monomodal biometric systems problems like noisy sensor data,(More)
This work is released in biometric field and has as goal, development of a full automatic fingerprint identification system using methods which have been tested in LAMOSI laboratory. Promising Results of first experiences using radial basis function neural network and support vector machine pushed us to continue the exploitation of new version of neural(More)
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