A Comparison of the YCBCR Color Space with Gray Scale for Face Recognition for Surveillance Applications

  • Jamal Ahmad Dargham
    UNIVERSITI MALAYSIA SABAH jamalad[at]ums.edu.my
  • Ali Chekima
    UNIVERSITI MALAYSIA SABAH
  • Ervin Gubin Moung
    UNIVERSITI MALAYSIA SABAH
  • Segiru Omatu
    Osaka Institute of Technology

Abstract

Face recognition is an important biometric method because of its potential applications in many fields, such as access control and surveillance. In this paper, the performance of the individual channels from the YCBCR colour space on face recognition for surveillance applications is investigated and compared with the performance of the grayscale. In addition, the performance of fusing two or more colour channels is also compared with that of the grayscale. Three cases with a different number of training images per persons were used as a test bed. It was found out that, the grayscale always outperforms the individual channel. However, the fusion of CBxCR with any other channel outperforms the grayscale when three images of the same class from the same database are used for training. Regardless of the cases used, the CBxCR channel always gave the best performance for the individual colour channels. It was found that, in general, increasing the number of fused channels increases the performance of the system. It was also found that the grayscale channel is the better choice for face recognition since it contains better quality edges and visual features which are essential for face recognition.
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Dargham, J. A., Chekima, A., Moung, E. G., & Omatu, S. (2018). A Comparison of the YCBCR Color Space with Gray Scale for Face Recognition for Surveillance Applications. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7(2), 43–52. https://doi.org/10.14201/ADCAIJ2018724352

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Author Biographies

Jamal Ahmad Dargham

,
UNIVERSITI MALAYSIA SABAH
Faculty of Engineering

Ali Chekima

,
UNIVERSITI MALAYSIA SABAH
Faculty of Engineering

Ervin Gubin Moung

,
UNIVERSITI MALAYSIA SABAH
Faculty of Engineering

Segiru Omatu

,
Osaka Institute of Technology
Faculty of Engineering, Department of Electronics, Information and Communication Engineering
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