Earticle

초록

영어

Face recognition is an assignment that people perform routinely and easily in their everyday lives. The most recent decade has seen a pattern towards an inexorably universal nature, where compelling and minimal effort registering frameworks are, no doubt coordinated into cell telephones, autos, therapeutic instruments and very nearly every part of our lives. In the previous work, few researchers have focused on detection of face using some methodology. In this research paper, the face recognition system proposed the Detection time, false negative in missed faces and optimality of the face. This proposed research work has been focused on optimality features of the neural network for the face images and detection time. In this paper, we have applied the neural network for three parameters such – detection time, false acceptance rate, successful rates, no. of failure, and cross correlation. Our proposed parameters provide better result as compared to the previous methodology.

목차

Abstract
 1. Introduction
 2. Existing Work
 3. Methodology
 4. Flow for Face Recognition Process
 5. Approach
 6. Results and Discussion
  6.1. Face Detection Time
  6.2. False Acceptance Rate
 7. Conclusion
 References

키워드

저자

• Gurpreet Kaur [ Department of CSE, I.K.G Punjab Technical University ]
• Sukhvir Kaur [ Department of CSE, I.K.G Punjab Technical 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