Abstract
Aiming at the problems of low efficiency and intelligence of traditional access control, the intelligent access control system based on face recognition is proposed and the recognition algorithm is optimized. The system consists of two modules: Adding user module and User identification module. Firstly, the adaboost algorithm is used for face detection, and it can reduce the influence of the environment on the image by the histogram equalization. To suppress the noise of the target image by bilateral filtering algorithm. Finally, to achieve face recognition by principal component analysis algorithm, which can reduce the computational effort while maintaining the original feature values of the image.
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Shi, W., Li, G., Li, X., Mitrouchev, P. (2023). Intelligent Access Control System Base on Face Recognition. In: Wang, Y., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XII. IWAMA 2022. Lecture Notes in Electrical Engineering, vol 994. Springer, Singapore. https://doi.org/10.1007/978-981-19-9338-1_49
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DOI: https://doi.org/10.1007/978-981-19-9338-1_49
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Online ISBN: 978-981-19-9338-1
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