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Publication Type : Conference Paper
Publisher : 2018 International Conference on Inventive Research in Computing Applications
Source : 2018 International Conference on Inventive Research in Computing Applications (ICIRCA) (2018)
Keywords : appearance based face recognition, Biometrics (access control), Comparative analysis, Computational complexity, Computational time, Databases, Discrete cosine transforms, face, Face recognition, feature based face recognition, Feature extraction, Image processing, image processing algorithms, individual authentication, individual identification, OpenCV, Principal component analysis, Training
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : Face recognition has gained vast acceptance over the years as a prominent technique for individual identification and authentication. This article deals with the comparison of prominent algorithms belonging to feature based and appearance based face recognition. These algorithms were implemented in OpenCV and evaluated on different databases. Their performance with respect to accuracy and computational time are presented.
Cite this Research Publication : R. Neha and Nithin S, “Comparative Analysis of Image Processing Algorithms for Face Recognition”, in 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), 2018.