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Volume & Issue no: Volume 3, Issue 12, December 2014


Face Recognization : A Review
Author Name:
Ms. Pritika V.Mamankar, Prof. H R. Vyawahare
ABSTRACT Digital pictures are getting additional vital within the transmission information. The external body part is one amongst the foremost vital objects in a picture. Investigation of crime is the situation of human faces then extracting the facial feature in a picture is a very important ability with big selection of applications, like external body part recognition, human pc interfacing. The face detection algorithmic program uses each frontal face and profile face detectors by extracting the ‘Haar’ options and uses them in a very cascade of boosted classifiers. The set from the face detection algorithmic program that uses a mixture of profile and frontal face cascades and, counting on the create, the face is compared with a specific set of faces having identical vary for classification. The detected faces are recognized by projected them onto the obtained the particular section victimization standard weighted PCA. During this system, create vary is split into 3 bins onto that the faces are sorted. This method has the advantage of recognizing a personal with minimum false positives attributable to create variations. Keywords:- Face Recognition, Machine Learning, Classification, Genetic algorithm
Cite this article:
Ms. Pritika V.Mamankar, Prof. H R. Vyawahare , " Face Recognization : A Review" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 12, December 2014 , pp. 099-101 , ISSN 2319 - 4847.
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