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FACE RECOGNITION SYSTEM BASED ON THE LIBRARY OF COMPUTER VISION ALGORITHMS OpenCV

Zhou H.   (undergraduate student BMSTU)

Afanasyev G. I.  (Candidate of Technical Sciences, associate professor BMSTU)

Afanasyev A. G.  (teaching assistant BMSTU)

Filatova A. E.  (undergraduate student BMSTU)

The article presents the results of creating a face detection system that was developed using the AdaBoost face detection algorithm based on haar-like features, a cascade classifier trained by this algorithm, and the OpenCV computer vision algorithm library. The program code of the face recognition system was developed in the VC++12 language. Experimental results show that the development cycle of the detection system is short, the detection speed is fast, the real-time performance is strong, the detection speed is high, which can be used as the basis for the development of face recognition and face tracking systems.

Keywords:computer vision, face recognition, AdaBoost algorithm, Haar-like signs, OpenCV
 

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Citation link:
Zhou H. , Afanasyev G. I., Afanasyev A. G., Filatova A. E. FACE RECOGNITION SYSTEM BASED ON THE LIBRARY OF COMPUTER VISION ALGORITHMS OpenCV // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№08/2. -С. 142-145 DOI 10.37882/2223-2966.2023.8-2.36
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