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| Face Detection Algorithm based on MATLAB GUI |
| SU Xiao, LV Ruixing*
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| School of Science,Jilin University of Chemical Technology,Jilin City 132022,China |
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Abstract As a key preprocessing step of recognition technology, the accuracy of face detection is easily affected by complex environment. In this paper, an interactive improved interface based on MATLAB is proposed for the traditional Viola-Jones algorithm. The Haar feature template is used to extract the multi-level structural features of the face, and the cascade classifier is used to achieve fast region screening. An adaptive threshold adjustment mechanism is designed to allow users to adjust the detection sensitivity of facial features through the Graphical User Interface interface. Finally, the integrated detection system supports multi-site independent detection and result visualization. The experiment is verified by ORL and WIDER FACE database. The results show that in the single face scene, the face detection rate is 100 %, and the eyes, nose and mouth are 92.5 %, 97.5 % and 95 % respectively. The face detection rate in the multi-person scene is 96.36 %, which is 12.7 % higher than that in the fixed threshold mode. The comprehensive performance is close to the MTCNN model, and the memory usage is only 25 % of the latter, which provides a practical solution for accurate detection in complex scenes.
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Published: 11 July 2026
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