Earticle

초록

영어

Face recognition is an image processing technique that recognizes the face of a person in the system. Face recognizing system may comprise the circuit board, software for detecting face with programmatic assurance. Face recognition developed in neural networks is the major application development in present days. This process can be used in security and biometric applications. For providing more security considerations proposed technique was Hybrid Face Recognition with Radial Basis Function, that uses two algorithms like PCA and LDA for face feature extraction and dimensionally fusion methods for associated to PCA and LDA. We will plan to extend our existing approach for feature extraction with different stages. In this we propose four stages for recognizing image extraction in facial schema. In this process the recognized image is determined by the corresponding output value present within threshold description. Our experimental shows efficient security considerations on facial feature extraction process.

목차

Abstract
 1. Introduction
 2. Neural Networks
 3. Background Work
 4. Our Work
  4.1. Face Preprocessing (or) Normalization
  4.2. Feature Extraction using PCA & LDA
  4.3. Feature Fusion using PCA
  4.4. Classification using RBF
 5. Conclusion
 References

키워드

저자

• Venkata Naresh Mandhala [ Vignan’s Foundation for Science, Technology and Research University, Vadlamudi, Guntur, AP, India ]
• Debnath Bhattacharyya [ Department of Computer Application, RCC Institute of Information Technology, Canal South Road, Beliaghata, Kolkata - 700015, 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 Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605