Earticle

초록

영어

This paper presents an approach by various Algorithms stage by stage for Face Detection. It first detects the face portion, removing all other portion from an image. First it will remove the background and then the body or cloths portion of the image. To achieve this we propose an algorithm based on K-Mean clustering, Bresenham’s algorithm, Graham Scan Algorithm. With the help of image morphology, algorithm will detect the skin texture of the face. Image opening and closing will help to get the skin texture. Using a nose template algorithm will find the nose tip by template matching method. Feature vectors are calculated with respect to the nose tip as the origin of 8 octants. Image moment provides a measure for variation in the skin. This total process is done by the feature extraction algorithm.

목차

Abstract
 1. Introduction
 2. Face Detection
  2.1. Introduction to Face Detection
 3. Proposed System
  3.1. Background Removal Process
  3.2. Creating Binary Image
  3.3. Removing Cloths from Binary Image
  3.4. Finding Concap Point and Removing Cloths
 4. K – Mean Clustering
 5. Applying Graham Scan Algorithm
 6. Applying Bresenham's Algorithm
 7. Conclusion
 References

키워드

저자

• Venkata Naresh Mandhala [ Department of Computer Science and Engineering, KL University, Vaddeswaram, AP, 522502, India ]
• Debnath Bhattacharyya [ Department of Information Technology, Bharati Vidyapeeth University College of Engineering, Pune-411043, India ]
• Tai-hoon Kim [ Department of Convergence Security, Sungshin Women's University, 249-1, Dongseon-dong 3-ga, Seoul, 136-742, Korea ] Corresponding Author

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