Author(s)

Ziyi Luo ¹, Longsu Wang ¹, Weirui Ma ¹, Qian Sun ¹, Luhao Zhao ¹

Affiliation(s)

¹ Nanjing Tech University Pujiang Institute, Nanjing city, Jiangsu Province, China

Corresponding Author

Ziyi Luo

ABSTRACT

The purpose of this paper is to explore the face recognition technology based on OpenCV and apply it to the attendance system of colleges and universities. The local binary mode L BP algorithm is used to process and extract features from the image, and the core idea is to compare the gray value of each pixel in the image with the surrounding pixels to generate a local binary mode. This method shortens the recognition time and improves the recognition accuracy, while the amount of training data required is relatively small, so as to enhance the generalization ability of the model. After the introduction of dynamic video face detection, the efficiency and quality of the overall teaching have been improved, and the teaching management has been made more automated and intelligent. The results show that the OpenCV face recognition attendance system based on LBP algorithm has practical application value and can bring convenience to the teaching management of colleges and universities.

KEYWORDS

Face recognition, OpenCV, time and attendance system, LBP algorithm

CITE THIS PAPER

Ziyi Luo, Longsu Wang, Weirui Ma, Qian Sun, Luhao Zhao, Face Recognition Attendance System Using OpenCV. Journal of Image Processing Theory and Applications (2025) Vol. 8: 98-106. DOI: http://dx.doi.org/10.23977/jipta.2025.080112.

REFERENCES

[1] XIAO Rui,WANG Jipeng. Attendance Management System for Mine Personnel Based on Face Recognition [J]. Modern Information Technology, 2023, 7 (07): 35-37+41. DOI:10.19850/j.cnki.2096-4706.2023.07.009.
[2] LIU Si, MA Jingyu, YUAN Qian, et al. Face Recognition System Based on Edge Computing [J]. Software Engineering, 2020, 23 (12): 40-42. DOI:10.19644/j.cnki.issn2096-1472.2020.12.012.
[3] Jin Weixiang,Xing Chen. Face Recognition Classroom Attendance System Based on OpenCV [J]. Journal of Zhejiang Institute of Water Resources and Hydropower, 2019, 31 (06): 58-62+87.
[4] ZHANG Yifu,CHEN Tianfei,ZHANG Jiansong. Online Face Recognition Time Attendance System Based on Raspberry Pi [J]. Electronic Design Engineering, 2019, 27 (22): 152-156. DOI:10.14022/j.cnki.dzsjgc.2019.22.033.
[5] SUN Zhi. Research and implementation of face recognition algorithm experimental platform based on OpenCV[D]. Jilin University, 2014.

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