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A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of Nearest Feature Line (NFL). The proposed FEFL use NFL to extend the prototype image sample set. Fuzzy K-Nearest Neighbor is applied for adding the new suitable samples to the prototype sample set. Experimental results on ORL face database and finger-knuckle-print...
A novel Bilinear Feature Line Analysis (BFLA) is proposed for image feature extraction in this letter. Neaerest feature line (NFL) is a powerful classifier. Some NFL based subspace algorithms have been introduced recently. In most of the classical NFL-based subspace learning approaches, the input samples are vectors. For face recognition, face samples should be transformed to vectors firstly. This...
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