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An automatic color facial expression recognition system has been designed and developed using multiple classifier classifications. This facial expression recognition system involves extracting the most communicative facial parts such as forehead, eyes with eyebrows, nose and mouth. Then these extracted features are trained individually using different classification system. Finally, a super classifier...
This present paper designs and develops a new modified Radial Basis Function Network (RBFN) based on Heuristic Based Clustering (HBC) for recognizing and localizing clear as well as occluded fingerprints in single and multiple fingerprint image frames. The technique of using the modified RBFN to perform learning of the different fingerprint images and subsequent identification and location invariant...
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