Earticle

초록

영어

In this paper, the impact of face image pre-processing in rising the face recognition rate is presented, considering the face images with low contrast, bad or dark lighting. Three preprocessing steps including image adjustment, histogram equalization and image conversion to Joint Photographic Experts Group (JPEG) or (JPG) and Bitmap (BMP) are used to enhance the contrast and the quality of face images respectively. For dimension reduction and feature extraction purposes many techniques are adopted such as Principle Component Analysis (PCA), Linear Discriminant Analysis (LDA), Kernel Principle Component Analysis KPCA and Kernel Fisher Analysis (KFA) and are used to evaluate the effect of illumination variations and image file formats on these techniques. Our results show that the proposed face databases in JPG and BMP formats produced good enhancement and increased the face recognition rate in all techniques when compared with AT&T ORL face database.

목차

Abstract
 1. Introduction
 2. Background
  2.1 Image Adjustment
  2.2 Histogram Equalization
  2.3 Image File Formats
 3. The Proposed Enhancement Approach
  3.1 Image Adjustment
  3.2 Histogram Equalization
  3.3 Image Conversion
  3.4 Face Recognition Feature Extraction Techniques
 4. Experiments and Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Isra’a Abdul-Ameer Abdul-Jabbar [ School of Computer and Information, Hefei University of Technology, Hefei 230009, People’s Republic of China, Computer Science Department, University of Technology, Baghdad, Iraq ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605