Title :
Research on Double-weight Face Recognition Model
Author :
Sun, Shiming ; Pan, Qing ; Li, Jinxia
Author_Institution :
Sch. of Comput. Sci. & Commun. Eng., China Univ. of Pet., Dongying
Abstract :
This paper puts forward a face recognition model combining global and local features which is adapted to small sorts face recognition in the embedded system. The mainly contribution of this paper is to bring out the thought of doing the identification using double-weight. Firstly, extract the features in the whole face picture and the subfields; then, construct different training set for each feature to get double-weight value that noted sorting weight value and clustering weight value; the identifying process is a two layers cascade classifier. By combining global and local features, this method is robust to the changes of expression and angle of human face; the bringing out of double-weight also makes an obvious point to the contribution of each feature when identifying "intra-personal" or "extra-personal" faces, which improved a lot in identification veracity. In the experiments, we use the most convenient method called principal component analysis (PCA) to extract features, and the identified veracity has been improved a lot compared to other models based on PCA.
Keywords :
biometrics (access control); embedded systems; emotion recognition; face recognition; feature extraction; image classification; learning (artificial intelligence); pattern clustering; principal component analysis; sorting; PCA; biometrics; cascade classifier; clustering weight value; double-weight face recognition model; embedded system; global feature extraction; local feature extraction; machine learning; principal component analysis; sorting weight value; Biometrics; Embedded system; Face recognition; Feature extraction; Hidden Markov models; Humans; Image processing; Independent component analysis; Principal component analysis; Sorting; Cascade classifier; Face recognize; Global feature; Local feature; PCA;
Conference_Titel :
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Conference_Location :
Alexandria
Print_ISBN :
978-1-4244-2020-9
Electronic_ISBN :
978-1-4244-2021-6
DOI :
10.1109/ICPCA.2008.4783704