Earticle

초록

영어

In this paper, we propose an illumination-robust face recognition system via local directional pattern images. Usually, local pattern descriptors including local binary pattern and local directional pattern have been used in the field of the face recognition and facial expression recognition, since local pattern descriptors have important properties to be robust against the illumination changes and computational simplicity. Thus, this paper represents the face recognition approach that employs the local directional pattern descriptor and two-dimensional principal analysis algorithms to achieve enhanced recognition accuracy. In particular, we propose a novel methodology that utilizes the transformed image obtained from local directional pattern descriptor as the direct input image of two-dimensional principal analysis algorithms, unlike that most of previous works employed the local pattern descriptors to acquire the histogram features. The performance evaluation of proposed system was performed using well-known approaches such as principal component analysis and Gabor-wavelets based on local binary pattern, and publicly available databases including the Yale B database and the CMU-PIE database were employed. Through experimental results, the proposed system showed the best recognition accuracy compared to different approaches, and we confirmed the effectiveness of the proposed method under varying lighting conditions.

목차

Abstract
 1. Introduction
 2. Proposed Approach
  2.1. Local Directional Pattern
  2.2. Two-dimensional Principal Component Analysis
 3. Experimental Results
  3.1. Yale B Database
  3.2. CMU-PIE Database
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Dong-Ju Kim [ Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology ]
• Sang-Heon Lee [ Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology ]
• Myoung-Kyu Sohn [ Division of IT Convergence, Daegu Gyeongbuk Institute of Science & Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605