DocumentCode :
685709
Title :
Face detection using genetic based SIFT algorithm
Author :
Mishra, Debahuti ; Chugh, Shaila
Author_Institution :
Inf. Technol., Samrat Ashok Technol. Inst., Vidisha, India
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
276
Lastpage :
281
Abstract :
Face detection is a technique of detecting any face from a set of images. Face can be detected on the basis of features of the face such as pose, height, width etc. Although there are various techniques implemented for the detection of faces such as face detection using neural networks, but the features extracted using neural network is not sufficient and has low accuracy. Hence in this paper an efficient proposed technique is implemented using genetic algorithm and SIFT algorithm. Genetic algorithm is first applied and then SIFT algorithm is applied for the feature extraction which may result in a better accuracy.
Keywords :
face recognition; feature extraction; genetic algorithms; neural nets; object detection; principal component analysis; transforms; PCA; face detection; face recognition system; feature extraction; genetic based SIFT algorithm; neural networks; principal component analysis; scale invariant feature transform; Accuracy; Face; Face detection; Face recognition; Feature extraction; Genetic algorithms; Neural networks; Face recognition; Genetic algorithm; PCA; Sift feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
Conference_Location :
Chennai
Type :
conf
DOI :
10.1109/ICGCE.2013.6823444
Filename :
6823444
Link To Document :
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