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Deep Perusal of Human Face Recognition Algorithms from Facial Snapshots

초록

영어

Face recognition having so many application in security, access control, gaming, aging effect, health issues, and internet communication and so on. It has been perform by using different face recognition algorithms on different field of application. When we use face recognition in real-world scenarios with unfavorable conditions such as occlusion and pose variations, illumination and expressions. Here also study the challenges during face recognition under immoral conditions such as facial expression recognition with poses variations, occlusion and lightning condition. Basically it proposes several possible future direction which is excluded from the challenges used in it. Thus, it is a beneficial developing ping point for research project on face recognitions able to be used for a practical purpose or in several ways.

목차

Abstract
 1. Introduction
  1.1. Face Recognition System
  1.2. Difficulties To Detect Faces
 2. Literature Review
 3. Transformation of Face Recognition
  3.1. Face Detection
  3.2. Preprocessing
  3.3. Feature Extraction
 4. Description of Face Detection
  4.1.Eigen Faces
  4.2. Fisher Faces
  4.3.PCA
  4.4. Artificial Neural Network (ANN)
 5. Applications of Face Recognition
 6. Challenges Facing in Face Recognition
 7. Further Work
 8. Conclusion
 References

저자정보

  • Deepika Dubey Assistant Professor SRCEM Banmore
  • Dr. G.S. Tomar Director THDC-IHET Tehri

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