Abstract
At present, the access control system-based face recognition mostly use devices similar to fingerprint punchers for face collection and recognition. Its recognition accuracy is low, and it leads to frequent problems in personnel attendance. Based on this, this study combines multimedia image and video analysis technology to adopt multi-angle video collection for personnel attendance. At the same time, this study uses Shumate’s method for video preliminary processing, and uses histogram equalization processing to perform deep processing of the image. In addition, through the closed operation, the discrete points in the skin color region can be connected with the skin color region, so that the face region is more fully enriched, and the system is constructed on the basis of the technology. In our work, the average recognition rate has reached 94.40% when the number of samples is 5. Through comparative analysis, the algorithm of this study has certain practicality, which can provide theoretical reference for subsequent related research.
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