Enhanced multiband feature technique for face recognition under varying illumination

S I Ch'ng; K P Seng; Li-Minn Ang

doi:10.1109/STUDENT.2010.5687006

Back

Enhanced multiband feature technique for face recognition under varying illumination

Conference paper

Peer reviewed

Enhanced multiband feature technique for face recognition under varying illumination

S I Ch'ng, K P Seng and Li-Minn Ang

2010 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, pp.61-64

IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, 2010 (Kuala Lumpur, Malaysia, 20-Nov-2010–21-Nov-2010)

Institute of Electrical and Electronics Engineers

2010

DOI: https://doi.org/10.1109/STUDENT.2010.5687006

Files and links (1)

url

https://doi.org/10.1109/STUDENT.2010.5687006View

Published Version

Abstract

Gaussian low pass filter

Multi band feature technique

Wavelet packet transform

Laplacian operator

This paper presents an enhanced multiband feature technique to improve the performance of face recognition under varying illumination. First, the illumination invariant subbands are extracted using wavelet packet transform and multiband feature selector. Then, histogram equalization is applied to the selected subbands to enhance the contrast of the subband (global). To reduce the noise and enhance the fine details of the facial features (local), an unsharp filter is subsequently applied to the histogram equalized subband. The unsharp filter is created by combining a Gaussian low pass filter and a negative Laplacian operator. The recognition performance of the proposed enhancement scheme is validated against the Yale B database. An improvement in recognition rate has been observed when the enhancement scheme is compared to the original unenhanced subband.

Details

Title: Enhanced multiband feature technique for face recognition under varying illumination
Authors: S I Ch'ng (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
Publication details: 2010 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, pp.61-64
Conference details: IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, 2010 (Kuala Lumpur, Malaysia, 20-Nov-2010–21-Nov-2010)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2010
DOI: 10.1109/STUDENT.2010.5687006
ISBN: 9781424475032
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513901302621
Output Type: Conference paper

Metrics

52 Record Views