{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T12:37:24Z","timestamp":1770467844765,"version":"3.49.0"},"reference-count":20,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2018,6,14]],"date-time":"2018-06-14T00:00:00Z","timestamp":1528934400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:p>The research of face recognition began in the 70s of last century. With the rapid development of science and technology and computer technology, it has been used in the application of property management, which has become a new research direction. Based on this, the research status of intelligent property and face recognition at home and abroad was investigated. On this basis, the concept and principle of face recognition technology were analyzed, and PCA algorithm was proposed for face recognition. According to the basic theory of PCA algorithm, it was applied to face recognition technology. The principle of PCA algorithm was proposed, and the principal component analysis method was deduced and applied to face recognition. According to the performance of PCA algorithm in face recognition technology, a new wavelet transform method was used in face recognition algorithm. After extracting the facial feature vector, the wavelet transform method combined with PCA algorithm was obtained. Finally, the proposed algorithm was applied to intelligent residential property management system. The results show that the algorithm can effectively improve the recognition accuracy and can meet the design requirements, which provides a theoretical basis for the subsequent system research.<\/jats:p>","DOI":"10.3233\/jifs-169646","type":"journal-article","created":{"date-parts":[[2018,6,15]],"date-time":"2018-06-15T13:13:33Z","timestamp":1529068413000},"page":"2909-2919","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Application of face recognition technology based on CA algorithm in intelligent residential property management"],"prefix":"10.1177","volume":"35","author":[{"given":"Cai","family":"Rui","sequence":"first","affiliation":[{"name":"School of Construction Management and Real Estate, Chongqing University, Chongqing, China"}]}],"member":"179","published-online":{"date-parts":[[2018,6,14]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.128"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.283"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.10.025"},{"issue":"7","key":"e_1_3_1_5_2","first-page":"529","article-title":"Face recognition in unconstrained videos with matched background similarity","volume":"42","author":"Wolf L.","year":"2011","unstructured":"WolfL., HassnerT. and MaozI., Face recognition in unconstrained videos with matched background similarity, Computer Vision &Pattern Recognition42(7) (2011), 529\u2013534.","journal-title":"Computer Vision &Pattern Recognition"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.112"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2035882"},{"issue":"1","key":"e_1_3_1_8_2","first-page":"46","article-title":"Face recognition with localbinary patterns","volume":"5","author":"Ali A.","year":"2012","unstructured":"AliA., HussainS., HaroonF.et al., Face recognition with localbinary patterns, Bahria University Journal of Information & Communication Technologies5(1) (2012), 46\u201350.","journal-title":"Bahria University Journal of Information & Communication Technologies"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.43"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0913053107"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2262292"},{"issue":"5","key":"e_1_3_1_12_2","first-page":"1601","article-title":"Metaface learning for sparse representation based face recognition","volume":"119","author":"Yang M.","year":"2010","unstructured":"YangM., ZhangL., YangJ.et al., Metaface learning for sparse representation based face recognition, Proceedings119(5) (2010), 1601\u20131604.","journal-title":"Proceedings"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.70"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2060207"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.013"},{"issue":"1","key":"e_1_3_1_16_2","first-page":"1","article-title":"Very low resolution face recognition problem","volume":"21","author":"Zou W.W.","year":"2012","unstructured":"ZouW.W. and YuenP.C., Very low resolution face recognition problem, IEEE Transactions on Image Processing A Publication ofthe IEEE Signal Processing Society21(1) (2012), 1\u20136.","journal-title":"IEEE Transactions on Image Processing A Publication ofthe IEEE Signal Processing Society"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.48"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.229"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2156787"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-7610.2010.02258.x"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.283"}],"container-title":["Journal of Intelligent &amp; 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