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2018 | OriginalPaper | Chapter

Face Recognition Across Aging Using GLBP Features

Authors : Mrudula Nimbarte, K. K. Bhoyar

Published in: Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Publisher: Springer International Publishing

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Abstract

Face recognition over aging is still a difficult but interesting problem in pattern recognition nowadays. It has many real world applications. It is highly affected with many uncontrolled parameters like variations in head pose, expressions and illumination. Aging also varies person to person, thus makes the task more difficult. This paper includes an approach proposed by us for solving this problem. Here, we introduced a novel feature descriptor that is a combination of Gabor and LBP features called as GLBP. We used Principal Component analysis (PCA) for dimensionality reduction and k-NN as a classifier. Proposed approach is experimentally tested on popular aging datasets FGNET and MORPH. It is observed from the experimental results that our approach is better in Rank-1 recognition accuracy as a performance measure.

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Metadata
Title
Face Recognition Across Aging Using GLBP Features
Authors
Mrudula Nimbarte
K. K. Bhoyar
Copyright Year
2018
Book
Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2

Print ISBN: 978-3-319-63644-3

Electronic ISBN: 978-3-319-63645-0

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-63645-0_30

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