An Effective Approach for Face Recognition using PCA and LDA on Visible and IR images

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-32 Number-1
Year of Publication : 2016
Authors : Rupish Arora, Amit Doegar
  10.14445/22312803/IJCTT-V32P108

MLA

Rupish Arora, Amit Doegar "An Effective Approach for Face Recognition using PCA and LDA on Visible and IR images". International Journal of Computer Trends and Technology (IJCTT) V32(1):44-48, February 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Now days, security is required everywhere and is one of the main concern. It is required in network security, telecommunication, security of data, in airport, in homes or the security of human beings. In computer science, biometrics is used for identification and to control access. It is also used to identify individuals in groups. Among various biometrics, the face of a human being plays an important role for identification. From last so many years, face recognition has become a challenging and interesting research. A large number of face recognition algorithms have been developed which include PCA, LDA, ICA and so on. Each technique has its own advantage and drawback. In this paper, a combination of PCA and LDA is implemented for face recognition on Normal and IR images, which results in more accurate output of the matched test input. The ORL database has been used for visible facial images, and CASIA dataset has used for IR facial images.

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Keywords
Eigenvector, Infrared Images, Linear Discriminant Analysis, Principal Component Analysis, Visual Image.