Title :
A new entropy-based algorithm for face localization
Author :
Alirezaee, Shahpour ; Faez, Karim ; Kanan, Hamidreza Rashidy ; Aghaeinia, Hassan
Author_Institution :
Dept. of Electr. Eng., Zanjan Univ.
Abstract :
Detecting and localizing a face in a single image is the most important part of almost all face recognition systems. Face localization aims to determine the image position of a face for verification purpose of documents such as passport, driving license, ID cards, etc. In this paper an entropy-based method is proposed for detecting the high information region of the image, which may include eyes, mouth, nose, etc. The derived regions in this stage of recognition are sent to feature extraction and classification phase. The method has been tested on the ORL database. The results show the effectiveness and robustness of the proposed method for face detection and localization in presence of white additive Gaussian noise up to 25 dBw. We have achieved localization rate 99.75% for detection of faces in the ORL data set that we had which means 1 miss over 400 ORL faces
Keywords :
AWGN; entropy; face recognition; feature extraction; image classification; ORL database; entropy-based algorithm; face detection; face localization; face recognition systems; feature extraction; image classification; image position determination; white additive Gaussian noise; Eyes; Face detection; Face recognition; Feature extraction; Image databases; Licenses; Mouth; Nose; Spatial databases; Testing;
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
DOI :
10.1109/ISSPIT.2005.1577114
