Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/999
Title: Comparative Survey of Face Recognition Techniques
Authors: Solanki, Dhavalsinh
Kothari, Ashish
Keywords: Principal Component Analysis (PCA)
Viola- Jones
Gabor Filters
Fisher’s Linear Discriminant Analysis (FLDA)
Issue Date: 2015
Citation: Solanki, D. ,Kothari, A.(2015). Comparative Survey of Face Recognition Techniques. International Journal of Advance Engineering and Research Development (IJAERD), National Conference on Emerging Trends in Computer, Electrical & Electronics (ETCEE-2015), Vol. 2 No. 14, e-ISSN: 2348 - 4470 , print-ISSN:2348-6406,Impact Factor:3.134. http://ijaerd.com/index.php/IJAERD/article/view/5789
Abstract: Face recognition has been a fast emergent and exciting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions. In this paper techniques of Face detection along with Face Recognition are discussed. Human and object frames, background frames are separated by implementing a face detection algorithms like Viola-Jones & Skin Detection algorithms. In this paper we have discussed, analyzed, & compare some popular face detection methods like PCA, LDA, PCA + LDA Hybridization and Gabor wavelet transformations and also tried to attempt a comparative study of these methods.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/999
ISSN: 2348 - 4470
Appears in Collections:01. Journal Articles

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