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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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Dimensionality Reduction - Supervised and Unsupervised Approaches for Facial Image Recognition

Radha Seelaboyina
Research Scholar, Department of Computer Science and Engineering, India.
Rajeev G Vishwakarma
Professor,Department of Computer Science and Engineering, Dr.A.P.J. Abdul Kalam University, India .

Keywords: Eigen value, Eigen faces, hyper plane, Principle component analysis.

Abstract

Nowadays Authentication of a person using biometric traits is very common. Number of Biometric features is used for authenticating person like fingerprint, iris, face etc. Among all of them facial recognition is very much popular for authenticating person. Number of algorithms is present but all have certain pros and cons. As facial image consists of number of features so dimensionality Reduction is important steps in any facial recognition algorithm. The main focus of this paper to apply principle component analysis techniques for face recognition process. PCA gives very good results in reducing dimension. Principle Component Analysis produces eigenvectors. One combines those eigenvectors into images and then visualizes the eigen faces.
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Published
2022-06-26
Pages
1-7
Issue
Vol. 1 No. 2 (2022): IJRTTE - 01 - 02
Section
Articles

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