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The evaluation of urban livability is not only one of the judgment criteria of urban competitiveness, but also an important factor affecting the speed of urban development. Among them, the safety factor of the city is the important guarantee of other aspects, so this paper intends to design a high-precision face recognition algorithm to make efforts for the safety construction of livable cities. Aiming at the shortcomings of the standard support vector machine (SVM), combined with the quantum-behaved mechanism, a quantum-behaved genetic algorithm\u2013SVM (QBGA\u2013SVM) is proposed in the paper. The experimental results for the human face databases show that QBGA\u2013SVM is superior to the comparison algorithms in both accuracy and stability. Finally, QBGA\u2013SVM is applied to face images of the real world, and the results are better than the other algorithms. <\/jats:p>","DOI":"10.1142\/s0218001422560146","type":"journal-article","created":{"date-parts":[[2023,2,10]],"date-time":"2023-02-10T01:39:39Z","timestamp":1675993179000},"source":"Crossref","is-referenced-by-count":3,"title":["QBGA\u2013SVM for Face Recognition of Livable Cities"],"prefix":"10.1142","volume":"37","author":[{"given":"Qizhen","family":"Li","sequence":"first","affiliation":[{"name":"Department of Landscape Architecture, Central South University of Forestry and Technology, Changsha 410004, P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7386-7209","authenticated-orcid":false,"given":"Aijia","family":"Ouyang","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Zunyi Normal University, Zunyi, Guizhou 563006, P. R. 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