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Proceedings Paper

Research on more features extraction and quick recognition algorithm of frontal face based on robustness
Author(s): Xianguo Lv; Hui Zhao; Yuanzhen Dang
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Paper Abstract

The identification of face recognition refers to the computer technology of using of analysis and comparison face visual feature information for the identification. It can detect the human target, extract features and identify persons. This paper presents a method of feature extraction and quick recognition for frontal face, which has a good robustness for some unexpected faces. For frontal face, the paper selects face contour, ears and triangle area between two eyes and nose as the features to be extracted. Extracting these features by different algorithms and analyzing the importance of them. According to the importance, different weights are put to these features. Finally, fuse these features for face recognition, in order to improving the recognition and ensuring the quick recognition.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 887836 (19 July 2013); doi: 10.1117/12.2031005
Show Author Affiliations
Xianguo Lv, Shandong Univ. (China)
Hui Zhao, Shandong Univ. (China)
Yuanzhen Dang, Shandong Univ. (China)

Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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