Title :
A design of robust face identification system for environmental changing
Author :
Takimoto, H. ; Akamatsu, Nono ; Mitsukura, Y. ; Pedrycz, Witold
Author_Institution :
Tokushima Univ., Japan
Abstract :
We propose the face identification method, which is robust for lighting based on the feature points method. First of all, the proposed method extracts an edge of facial feature. Then, by the Hough transform, it determines ellipse parameters of each facial feature from the extracted edge. Finally, proposed method performs the face identification by using parameters. Even if face image is taken under various lighting condition, it is easy to extract the facial feature edge. Moreover, it is possible to extract a subject even if the object has not appeared enough because this method extracts approximately the parameters by the Hough transformation. Therefore, proposed method is robust for the lighting condition compared with conventional method. In order to show the effectiveness of the proposed method, using the real images does computer simulations.
Keywords :
Hough transforms; face recognition; feature extraction; Hough transform; face image extraction; feature points method; robust face identification system; Biometrics; Computer simulation; Data mining; Face detection; Face recognition; Facial features; Image recognition; Mouth; Nose; Robustness;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1337415