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  • 标题:Face Recognition and Emotion Classification
  • 本地全文:下载
  • 作者:Ruby Kamboj ; Sarita Choudhary
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:7
  • 页码:6825-6834
  • 出版社:IJECS
  • 摘要:Face recognition from image or video is a popular topic in biometrics research. Many public places usually havesurveillance cameras for video capture and these cameras have their significant value for security purpose. It is widelyacknowledged that the face recognition have played an important role in surveillance system as it doesn’t need the object’scooperation. The actual advantages of face based identification over other biometrics are uniqueness and acceptance. Ashuman face is a dynamic object having high degree of variability in its appearance, that makes face detection a difficultproblem in computer vision. In this field, accuracy and speed of identification is a main issue. The goal of this project is toevaluate various face detection and recognition methods, provide complete solution for image based face detection andrecognition with higher accuracy, better response rate as an initial step for video surveillance. Solution is proposed basedon performance tests on various face rich databases in terms of different emotions
  • 关键词:Biometrics;Eigen Face;Training Set;Testing;Set;Covariance Matrix;Principal Component Analysis
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