Face Recognition using SIFT, SURF and PCA for Invariant Faces

Face Recognition using SIFT, SURF and PCA for Invariant Faces

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2016 by IJETT Journal
Volume-34 Number-1
Year of Publication : 2016
Authors : Yukti Bakhshi, Sukhvir Kaur, Prince Verma
DOI :  10.14445/22315381/IJETT-V34P208

Citation 

Yukti Bakhshi, Sukhvir Kaur, Prince Verma"Face Recognition using SIFT, SURF and PCA for Invariant Faces", International Journal of Engineering Trends and Technology (IJETT), V34(1),39-42 April 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
This paper consists of review methods used for face recognition- SIFT, SURF, PCA, PCASIFT, etc. for recognition and matching. SIFT and SURF is used to extract features to perform reliable matching from the images. PCA eigenfaces are used, they are entered into SIFT. The basic process of face recognition system is described here and improvement is shown in matching the invariant faces in this paper. SIFT and SURF are used to extract the features and then applying PCA to the image for the better performance in terms of rotation, expression and contrast. Performance can be seen on the basis of Recognition rate. Image Processing Toolbox under MATLAB Software is used for the implementation of this proposed work.

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Keywords
Face Recognition, Face Recognition Algorithms, SIFT, SURF and PCA, Recognition Rate.