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Different Methods for Statistical Face Representation-Review


Affiliations
1 P.V.K.K Institute of Technology, Anantapur, India
2 MITS, Madanapalli, India
 

Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Hence there is need to have reliable identification method for interacting users .In this paper we discuss past research on biometric face feature extraction and recognition of static images. We will present implementation outline of these methods along with their comparative measures and result analysis.

Keywords

Face Recognition, Feature Based Methods, Fisher’s Linear Discriminant (FLD).
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  • Different Methods for Statistical Face Representation-Review

Abstract Views: 237  |  PDF Views: 2

Authors

T. Syed Akheel
P.V.K.K Institute of Technology, Anantapur, India
S. A. K. Jilani
MITS, Madanapalli, India
K. Kanthamma
MITS, Madanapalli, India

Abstract


Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Hence there is need to have reliable identification method for interacting users .In this paper we discuss past research on biometric face feature extraction and recognition of static images. We will present implementation outline of these methods along with their comparative measures and result analysis.

Keywords


Face Recognition, Feature Based Methods, Fisher’s Linear Discriminant (FLD).