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Recognizing Facial Images with Weight and Age Variations using Different Classification Algorithms


Author(s):

ANUPAMA.G.S , MARIAN ENGINEERING COLLEGE; DHANYA MATHEW, MARIAN ENGINEERING COLLEGE

Keywords:

Database, Face recognition, Facial aging, Feature points, neural network

Abstract:

As the age increases there may be changes in the weight of an individual and as a result there occurs changes in skeletal structure muscle mass and body fat. This reflects in the face of the person. The age variations can be recognized by generally focusing on the difference in skeletal structure and muscle mass. But the effect of change in body fat may not be a gradual one thus its study is however difficult in the case of face recognition. Here we are discussing about the recognition of facial images which is having weight variations along with the age to improve the performance of face recognition. The proposed algorithm utilizes neural network and Levenberg–Marquardt algorithm (LMA), also known as the damped least-squares (DLS) method to encode age variations across different weight categories. The results are obtained with the help of WhoIsIt database.


Other Details:

Manuscript Id :IJSTEV2I11260
Published in :Volume : 2, Issue : 11
Publication Date: 01/06/2016
Page(s): 836-841
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