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  2015, Vol. 28 Issue (1): 35-41    DOI: 10.16451/j.cnki.issn1003-6059.201501005
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A Face Detection Algorithm Based on Haar-Like T Features
WANG Qing-Wei, YING Zi-Lu
School of Information Engineering, Wuyi University, Jiangmen, 529020

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Abstract  An algorithm is presented for face detection based on Haar-Like T features which are the extension of Haar-Like features. Due to the distributions of facial organs, a lot of T structure features on face models can be found. Based on the principle of Haar-Like features, 4 Haar-Like T features are presented which are similar to Haar-Like features. Haar-Like T features and Haar-Like features are all input into Adaboost algorithm to generate weak classifiers for feature selection. Finally, a strong classifier is constructed by cascading those weak classifiers for face detection. Extensive face detection experiments are conducted for the proposed algorithm. Compared with the traditional face detection classifier, such as Haar-Like classifier and LBP classifier, the superior experimental results prove the effectiveness and the superiority of the proposed algorithm.
Key wordsFace Detection      Haar-Like Feature      Haar-Like T Feature      Adaboost Classifier      Cascade Classifier     
Received: 19 July 2013     
ZTFLH: TP 391.4  
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WANG Qing-Wei
YING Zi-Lu
Cite this article:   
WANG Qing-Wei,YING Zi-Lu. A Face Detection Algorithm Based on Haar-Like T Features[J]. , 2015, 28(1): 35-41.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201501005      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2015/V28/I1/35
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