Neamat El Gayar

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The performance of a biome¿trie verification system is affected by how good each user is represented in the user gallery. Due to the infinite number of pose variations, illumination changes and other intra-class variations in the biome¿trie samples, it is impossible to collect all variations in a totally supervised manner. Adaptive biome¿trie systems that(More)
In the field of pattern recognition multiple classifier systems based on the combination of outputs from different classifiers have been proposed as a method of high performance classification systems. The objective of this work is to develop a fuzzy Gaussian classifier for combining multiple learners, we use a fuzzy Gaussian model to combine the outputs(More)
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