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Vol. 159, Issue 11, November 2013, pp. 7-12




Research and Implementation of Pattern Recognition Based on Adaboost Algorithm
1 Luqun CHANG, 2 Zhengfu BIAN

1 Ji'nan Research Institute of Geotechnical Investigation & Surveying, 59 Lishan Road, 250013, Ji'nan, Shandong Province, China

2 Institute of Land Resources, China University of Mining and Technology, Xuzhou, Jiangsu Province, China


Received: 28 August 2013   /Accepted: 25 October 2013   /Published: 30 November 2013

Digital Sensors and Sensor Sysstems


Abstract: Pattern recognition and computer vision technology as a long-term subject of concern, which has high academic value and commercial value. Adaboost is an iterative algorithm, and its core idea is to obtain some weak classifier with a training set of training. Finally, a much stronger classifier is obtained by combining weak classifiers. In this paper, we firstly introduce the basic theory of Adaboost algorithm, and then take face recognition as an application example, the training process and the detection process were achieved respectively and independently. Experimental results show the detector based on Adaboost algorithm can accurately detect the location of the face, regardless of their positions, scale, orientation, lighting conditions, expressions, etc., and it has a smaller detection error. Specifically, the detector can effectively detect multiple faces, and it also has much higher detection accuracy.


Keywords: Pattern recognition, Computer vision, Face detection, Adaboost algorithm.


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