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New MCT-based face recognition under varying lighting conditions

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  • Intelligent and Information Systems
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Abstract

This paper presents a new face recognition algorithm that is insensitive to variations in lighting conditions. In the proposed algorithm, the MCT (Modified Census Transform) was embedded to extract the local facial features that are invariant under illumination changes. In this study, we also employed an appearance-based method to incorporate both local and global features. First, input facial images are transformed by the MCT and a bit string from the MCT is converted to a decimal number to generate an MCT domain image. This domain image is recognized using principle component analysis (PCA) or linear discriminate analysis (LDA). Experimental results reveal that the recognition rate of the proposed approach is better than that of conventional appearance-based algorithms by approximately 20% for the Yale B database, in the case of severe variations in illumination conditions. We also found that the proposed algorithm yields better performance for the Yale database for various face expressions, eye-wear, and lighting conditions.

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Authors and Affiliations

  1. Computer Engineering, Kwangwoon University, 447-1 Wolgye-dong, Nowon-gu, Seoul, 139-701, Korea

    Sue-Kyeong Park & Dong-Gyu Sim

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  1. Sue-Kyeong Park
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  2. Dong-Gyu Sim
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Correspondence to Dong-Gyu Sim.

Additional information

Recommended by Editorial Board member Dong-Joong Kang under the direction of Editor Young-Hoon Joo. The present research has been conducted by the Research Grant of Kwangwoon University in 2009.

Sue-Kyeong Park was born in Seoul, Korea, on October 12, 1982. She received her B.S. and M.S. degrees in Computer Engineering from Kwangwoon University, Seoul, Korea, in 2006 and 2008, respectively. Her current research interests include image processing, medical imaging, and perceptual modeling.

Dong-Gyu Sim was born in Chungchung Province, Korea, in 1970. He received his B.S. and M.S. degrees in Electronic Engineering from Sogang University, Seoul, Korea, in 1993 and 1995, respectively. He also received his Ph.D. degree at the same University in 1999. He was with the Hyundai Electronics Co., Ltd. from 1999 to 2000, where was involved in MPEG-7 standardization. He was a senior research engineer at Varo Vision Co., Ltd., working on MPEG-4 wireless applications from 2000 to 2002. He worked for the Image Computing Systems Lab. (ICSL) at the University of Washington as a senior research engineer from 2002 to 2005. He researched on the ultrasound image analysis and parametric video coding. He joined the Department of Computer Engineering at Kwangwoon University, Seoul, Korea, in 2005 as an Associate Professor. He was elevated to an IEEE Senior Member in 2004. His current research interests are image processing, computer vision, and video communication.

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Park, SK., Sim, DG. New MCT-based face recognition under varying lighting conditions. Int. J. Control Autom. Syst. 9, 542–549 (2011). https://doi.org/10.1007/s12555-011-0314-0

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