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This paper presents an approach called Gabor-feature-based Local Generic Representation (G-LGR), which take advantages of the sparse representation properties of face recognition in biometric applications. In this work, the main problem is that if only one training subject per class is available. One of the novelties of our new algorithm is to produce virtual samples of each subject; the new sample...
Lossless image coding is a very important technique to efficiently and perfectly reducing image storage and having many application fields such as: medical images, seismic data, digital archives and digital documentations. In this paper, we present a new approach of a lossless binary image coding which combines two coding process. The first one is based a neighbourhood code reduction which transforms...
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