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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.
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Received: 19 July 2013
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2015, Vol. 28 
