Abstract
The study mainly shows the face recognition system and the integrated verification system applied in the community management to point out the necessity of building an emerging intelligent community management system. At the same time, the study separates two sections to display face recognition system and integrated verification system. Combing the process of face recognition and the architecture of community face recognition system to indicate the working mechanism, through the front-end acquisition module, the pre-processing module, the matching and recognition module, the output module and the management module, with the detail information respectively. Importantly, in order to provide a better service for public security work, it is also required to build an integrated verification system. Through the integrated verification system framework, dividing into multi-source data integration and multi-biometric feature verification to address issues and explain the working process and mechanism. Definitively, implementing the emerging system can bring both social and economic benefits, which can contribute to the construction of public security.
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This study is supported by the National Key Research and Development Project of China (No. 2018YFC0809704).
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Xu, Z., Yan, Z., Kang, C. (2021). Construction of the Emerging Community Management System. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_97
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DOI: https://doi.org/10.1007/978-3-030-70042-3_97
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