International Journal of Management, IT and Engineering
Year : 2014, Volume : 4, Issue : 10
First page : ( 514) Last page : ( 519)
Online ISSN : 2249-0558.

Enhancing the recognition rate and reduce the computation complexity in image processing – a research

Dhanda Kamal, Goel Shalu

Department of Computer Science & Engineering, BRCM college of Engineering and Technology, Bahal

Online published on 29 November, 2014.

Abstract

Face recognition is an active and important research from past many years. This process includes face tracking, expression finding and many more. In the beginning it was not possible to detect the face with the local structure. But now with the modern methods like LPP, it is now possible to preserve locality also. In a database having hundreds of images it is quite difficult to detect a face with less amount of time or having a high recognition rate with high accuracy. The main problem of face recognition is high dimension space which is to be reduced by dimension reduction technique. This low dimension subspace can be achieved by using dimension reduction techniques like Principal component analysis, Linear Discriminates analysis and Locality Preserving Projection (LPP). So the aim of this paper is to first reduce the dimension of all the images present in the database and then search the required image from the given database.

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Keywords

Eigen Value, Laplacian Faces, a Priori Laplacian, Linear Projective Projection, Face Biometric.

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