Earticle

초록

영어

So far, numerous methods have been proposed for face recognition based on single image person. In this paper, we introduce a new recognition algorithm based on feature vectors of three types of moments and fuzzy combination of them. We used an ethnic database in our experiments that are distinctly different from other famous databases such as AR and FERET. In ethnic database women have Hijab that is important feature in Muslim community such as Arabian countries. Also most of men have beard or mustache in these nations. Experimental results show that these features increase the recognition rate. Really, these characteristics eliminate the false recognition between male and female in the process. Subsets of 100 images from ethnic, AR and FERET are used in our experiments. Proposed method achieves 96% accuracy for ethnic database that is higher than two other databases.

목차

Abstract
 1. Introduction
 2. The Proposed Face Recognition Algorithm
  2.1 Image Partitioning
  2.2 Methods of Moments
  2.3 Distance Measures
  2.4 Order Comparator
 3. Fuzzy System
 4. Experimental Results
 5. Conclusion
 References

키워드

저자

• Rohollah Akbari [ Electrical and Computer Department, Islamic Azad University of Qazvin ]
• Saeed Mozaffari [ Electrical Department, Semnan University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605