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  • Chen, Han Tung; Ying Peng, Guan; Chang, Kai Chi; Yi Lin, Jia; Chen, Yi-Hsin; Lin, Yu Kai; Huang, Chao-Yi; Chen, Jong-Chen

    2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2021-Sept.-15
    Conference Proceeding

    In recent years, with the gradual development of computer vision-related technologies, the face recognition-related technology has gradually become one of the mainstream security system options. In this study, we use MTCNN1 for preprocessing and LRCNs2 network structure and time-series face image data to try to solve the problem of unrecognizable user due to face blocking or face angle, when a frame is unrecognizable, we can still compare the user's characteristics with other frames and determine their identity.