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Comparative Survey of Face Recognition Techniques

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dc.contributor.author Solanki, Dhavalsinh
dc.contributor.author Kothari, Ashish
dc.date.accessioned 2023-05-18T02:36:36Z
dc.date.available 2023-05-18T02:36:36Z
dc.date.issued 2015
dc.identifier.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 en_US
dc.identifier.issn 2348 - 4470
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/999
dc.description.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. en_US
dc.language.iso en en_US
dc.subject Principal Component Analysis (PCA) en_US
dc.subject Viola- Jones en_US
dc.subject Gabor Filters en_US
dc.subject Fisher’s Linear Discriminant Analysis (FLDA) en_US
dc.title Comparative Survey of Face Recognition Techniques en_US
dc.type Article en_US


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