Face Detection System Based on AdaBoost Algorithm

Author:

Shi Lan1,Lv Jian Hui1

Affiliation:

1. Northeastern University

Abstract

In order to do further research on face recognition, this paper constructs system software work environment on the hardware platform, and then AdaBoost algorithm is given and transplanted into this system. According to the detection speed of the system and the detection rate, this paper does simulation results, it shows that the speed of each frame image detected by the system is about 110 to 130 milliseconds, and the detection rate of face rotation of small range is 85% or more, which shows the system can meet the practical needs and has widely application.

Publisher

Trans Tech Publications, Ltd.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Object Detection Techniques: A Review;Wasit Journal of Computer and Mathematics Science;2023-09-30

3. Comparative Study Of Convolutional Neural Network And Haar Cascade Performance On Mask Detection Systems Using Matlab;2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2022-10-06

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