DocumentCode :
228535
Title :
Face detection and recognition with video database
Author :
Yadhul, Kolcharam ; Thusnavis, Bella Mary I. ; Lakshmi, P.S. ; Saju, Ansa
Author_Institution :
ECE, Karunya Univ., Coimbatore, India
fYear :
2014
fDate :
13-14 Feb. 2014
Firstpage :
1
Lastpage :
5
Abstract :
This paper focus, to reduce the computational complexity in face detection and to improve the accuracy rate of face recognition. Viola jones algorithm is used for the face detection. There exist challenges in pre-processing stages like illumination, noise reduction, low resolution, which has to be faced. These problems can be overcome by hue saturation for illumination, median filters for noise reduction and low resolution by super resolution algorithm. Convolutional neural network is the technique used for recognition of the face and also its identity is shown.
Keywords :
computational complexity; face recognition; image resolution; median filters; neural nets; video databases; Viola jones algorithm; computational complexity; convolutional neural network; face detection; facerecognition; illumination; low resolution; median filters; noise reduction; super resolution algorithm; video database; Complexity theory; Databases; Feature extraction; Flowcharts; Image edge detection; Image resolution; Lighting; Convolutional neural network; Illumination; Noise reduction; Super resolution; Viola jones algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
Type :
conf
DOI :
10.1109/ECS.2014.6892662
Filename :
6892662
Link To Document :
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