Face Recognition Based on Local Features

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Abstract

A utterly automated face recognition system is introduced. The technique works on shade and grey degree pictures: after having localized

the face and the facial options, it determines sixteen facial ducial factors, and characterizes them making use of a financial institution of lters which extract the pe-

culiar texture round them (jets). Recognition is realized measuring the similarity between the dierent jets. The system is impressed by the elastic

bunch graph technique, however the

Keyword: face, recognition, Gabor filters, Gabor filtering, native options, Gabor coefficients, face matching, face recognition, face verification, function vector.

 

 

 

 

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