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Research Article |

Face Recognition using PCA and LDA Technique for Noisy Faces

Author(s): Meeta Dubey and Prof. Prashant Jain

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 1, Issue 2

Publisher : FOREX Publication

Published : 30 June 2013

e-ISSN : 2347-470X

Page(s) : 22-28

DOI: https://doi.org/10.37391/IJEER.010201

Abstract

Face recognition is always a popular area of research. There are various techniques used in the face recognition system. Principal component analysis (PCA) and linear discriminate analysis (LDA) techniques are the two most well-known techniques for the face recognition. In this paper, the PCA and LDA technique based face recognition system are described. The performance of this technique is compare in term of PSNR and RMSE for noisy image. The Euclidean distance between feature templates and database futures are used for identifying the face image. There are basically three types of noises present, but in this paper I am going to compare the salt and pepper noise with the Gaussian noise in the detailed and analytical ways. After finding the features of the different noisy images I am going to compare both the PCA and LDA technique for the noisy pictures.

Keywords: Linear discriminate analysis (LDA), Principal component analysis (PCA).




Meeta Dubey1*, Department of Electronics and Telecommunication Jabalpur engineering college, Jabalpur, India; Email: my_friendforever@yahoo.co.in

Prof. Prashant Jain2, Department of Information Technology Jabalpur engineering college, Jabalpur, India; Email: pj.hod.it.jec@gmail.com

    [1] Review of Face Detection using PCA and ANN Techniques Sachin Shende & Rahila Patel.
    [2] SUPPORT VECTOR MACHINES, PCAAND LDA IN FACE RECOGNITION.
    [3] BDPCA Plus LDA: A Novel Fast Feature Extraction.
    [4] Technique for Face Recognition Wangmeng Zuo, David Zhang, Senior Member, IEEE, Jian Yang, and Kuanquan Wang
    [5]Template Based Face Recognition using Real Images Upneet Kaur Department of Computer Science and Engineering CEC, Landran, Punjab, India.
    [6] A Survey of Face Recognition Techniques RabiaJafri and Hamid R. Arabia.
    [7] omparison of Different Algorithms of Face Recognition, Ajeet Singh*, BK Singh and Manish Verma.

Meeta Dubey and Prof. Prashant Jain (2013), Face Recognition using PCA and LDA Technique for Noisy Faces. IJEER 1(1), 22-28. DOI: 10.37391/IJEER.010201.