S. Patil1, and D. Deore2. Informatics Engineering, an International Journal (IEIJ), 01 (01):
01-11(December 2013)
Abstract
Face Recognition plays a major role in Biometrics. Feature selection is a measure issue in face recognition. This paper proposes a survey on face recognition. There are many methods to extract face features. In some advanced methods it can be extracted faster in a single scan through the raw image and lie in a lower dimensional space, but still retaining facial information efficiently. The methods which are used to extract features are robust to low-resolution images. The method is a trainable system for selecting face features. After the feature selection procedure next procedure is matching for face recognition. The recognition accuracy is increased by advanced methods.
%0 Journal Article
%1 noauthororeditor
%A Patil1, Shailaja A
%A Deore2, Dr. P. J.
%D 2013
%J Informatics Engineering, an International Journal (IEIJ)
%K Face binary feature features, local pattern. selection,
%N 01
%P 01-11
%T Face Recognition: A Survey
%U http://airccse.org/journal/ieij/papers/1113ieij05.pdf
%V 01
%X Face Recognition plays a major role in Biometrics. Feature selection is a measure issue in face recognition. This paper proposes a survey on face recognition. There are many methods to extract face features. In some advanced methods it can be extracted faster in a single scan through the raw image and lie in a lower dimensional space, but still retaining facial information efficiently. The methods which are used to extract features are robust to low-resolution images. The method is a trainable system for selecting face features. After the feature selection procedure next procedure is matching for face recognition. The recognition accuracy is increased by advanced methods.
@article{noauthororeditor,
abstract = {Face Recognition plays a major role in Biometrics. Feature selection is a measure issue in face recognition. This paper proposes a survey on face recognition. There are many methods to extract face features. In some advanced methods it can be extracted faster in a single scan through the raw image and lie in a lower dimensional space, but still retaining facial information efficiently. The methods which are used to extract features are robust to low-resolution images. The method is a trainable system for selecting face features. After the feature selection procedure next procedure is matching for face recognition. The recognition accuracy is increased by advanced methods.
},
added-at = {2018-09-29T07:13:27.000+0200},
author = {Patil1, Shailaja A and Deore2, Dr. P. J.},
biburl = {https://www.bibsonomy.org/bibtex/269ec0987f8e194768d7f4d20a8a1f91c/ieij1},
interhash = {c80e78ba31fce5c93bfb57daa4362a97},
intrahash = {69ec0987f8e194768d7f4d20a8a1f91c},
issn = {ISSN : 2349 - 2198},
journal = {Informatics Engineering, an International Journal (IEIJ)},
keywords = {Face binary feature features, local pattern. selection,},
language = {english},
month = dec,
number = 01,
pages = {01-11},
timestamp = {2018-09-29T07:13:27.000+0200},
title = {Face Recognition: A Survey},
url = {http://airccse.org/journal/ieij/papers/1113ieij05.pdf},
volume = 01,
year = 2013
}