An Efficient Algorithm for Face Localizatio

نویسندگان

  • Hassan Aghaeinia
  • Karim Faez
  • Farid Askari
  • Shahpour Alirezaee
چکیده

and localizing a face in a single image is the most important part of almost all face systems. Face localization aims to determine the image position of a face for verification documents such as passport, driving license, ID cards, etc. In this paper an entropy-based roposed for detecting the high information region of the image which may include eyes, e, etc. The derived regions in this stage of recognition are sent to feature extraction and n phase. The method has been tested on the ORL database. The results show the ss and robustness of the proposed method for face detection and localization in presence dditive Gaussian noise up to 25 dbw. We have achieved localization rate 99.75% for f faces in the ORL data set that we had which means 1 miss over 400 ORL faces. Image processing, Face localization, Recognition, Entropy.

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تاریخ انتشار 2006