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2019 | OriginalPaper | Chapter

Technique of Face Recognition Based on PCA with Eigen-Face Approach

Authors : C. B. Tatepamulwar, V. P. Pawar, S. D. Khamitkar, H. S. Fadewar

Published in: Computing, Communication and Signal Processing

Publisher: Springer Singapore

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Abstract

PCA is utilized in the area of recognition of face, fingerprint, handprint, industrial robotics, and mobile robotics. In the face recognition, research shows that the success rate is not satisfactory for a variant of poses which have rotation gap of more than 30°. If there are lots of variations in lightning, expressions, and pose variation, then PCA results are not up to the mark in the existing algorithm. This problem is arising in mind. The objective of the present paper is to study and propose modified PCA and Eigen-face-based algorithm to improve result with the accuracy of face recognition. In this paper, we focus on the pose variations which have 30° range of pose in image.

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Metadata
Title
Technique of Face Recognition Based on PCA with Eigen-Face Approach
Authors
C. B. Tatepamulwar
V. P. Pawar
S. D. Khamitkar
H. S. Fadewar
Copyright Year
2019
Publisher
Springer Singapore
Book
Computing, Communication and Signal Processing

Print ISBN: 978-981-13-1512-1

Electronic ISBN: 978-981-13-1513-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-1513-8_92