{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T17:18:07Z","timestamp":1771003087318,"version":"3.50.1"},"reference-count":20,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2021,5,6]]},"abstract":"<jats:p>At present, the correct recognition rate of face recognition algorithm is limited under unconstrained conditions. To solve this problem, a face recognition algorithm based on deep learning under unconstrained conditions is proposed in this paper. The algorithm takes LBP texture feature as the input data of deep network, and trains the network layer by layer greedily to obtain optimized parameters of network, and then uses the trained network to predict the test samples. Experimental results on the face database LFW show that the proposed algorithm has higher correct recognition rate than some traditional algorithms under unconstrained conditions. In order to further verify its effectiveness and universality, this algorithm was also tested in YALE and YALE-B, and achieved a high correct recognition rate as well, which indicated that the deep learning method using LBP texture feature as input data is effective and robust to face recognition.<\/jats:p>","DOI":"10.3233\/jcm-204595","type":"journal-article","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T19:17:38Z","timestamp":1600802258000},"page":"497-508","source":"Crossref","is-referenced-by-count":1,"title":["Study on face recognition under unconstrained conditions based on LBP and deep learning"],"prefix":"10.1177","volume":"21","author":[{"given":"Liping","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Chongqing Creation Vocational College, Chongqing, China"}]},{"given":"Mingwei","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Economics and Management, Chongqing Creation Vocational College, Chongqing, China"}]},{"given":"Chun","family":"He","sequence":"additional","affiliation":[{"name":"Education and Information Technology Center, China West Normal University, Nanchong, Sichuan, China"}]}],"member":"179","reference":[{"issue":"1","key":"10.3233\/JCM-204595_ref1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/TSMCA.2008.2007979","article-title":"Identifying noncooperative subjects at a distance using face images and inferred three dimensional face models","volume":"39","author":"Medioni","year":"2009","journal-title":"IEEE Transactions on Systems Man & Cybernetics Part A Systems & Humans"},{"key":"10.3233\/JCM-204595_ref2","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.neucom.2015.08.128","article-title":"Face recognition using class specific dictionary learning for sparse representation and collaborative representation","volume":"204","author":"Liu","year":"2016","journal-title":"Neurocomputing"},{"issue":"10","key":"10.3233\/JCM-204595_ref3","doi-asserted-by":"crossref","first-page":"1978","DOI":"10.1109\/TPAMI.2010.230","article-title":"Effective unconstrained face recognition by combining multiple descriptors and learned back ground statistics","volume":"33","author":"Wolf","year":"2011","journal-title":"IEEE Pattern Analysis and Machine Intelligence"},{"key":"10.3233\/JCM-204595_ref4","doi-asserted-by":"crossref","unstructured":"Z.H. 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Zhang, Fusion of LBP and HOG using multiple kernel learning for infrared face recognition, 16th International Conference on Computer and Information Science (2017), 81\u201384.","DOI":"10.1109\/ICIS.2017.7959973"},{"issue":"1","key":"10.3233\/JCM-204595_ref5","first-page":"149","article-title":"Robust face recognition for uncontrolled pose and illumination changes","volume":"43","author":"De Marsico","year":"2013","journal-title":"Systems, Man, and Cybernetics: Systems, IEEE Transactions on"},{"key":"10.3233\/JCM-204595_ref6","first-page":"1","article-title":"The face recognition method based on CS-LBP and DBN","volume":"14","author":"Sun","year":"2018","journal-title":"Mathematical Problems in Engineering"},{"issue":"7","key":"10.3233\/JCM-204595_ref7","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","article-title":"A fast learning algorithm for deep belief nets","volume":"18","author":"Hinton","year":"2006","journal-title":"Neural Computation"},{"issue":"4","key":"10.3233\/JCM-204595_ref8","doi-asserted-by":"crossref","first-page":"963","DOI":"10.3233\/JCM-180836","article-title":"Application of spark parallelization technology in architectural text classification","volume":"18","author":"Zhang","year":"2018","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"issue":"7","key":"10.3233\/JCM-204595_ref9","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","article-title":"Multiresolution gray-scale and rotation invariant texture and classification with local binary patterns","volume":"24","author":"Ojala","year":"2002","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"issue":"1","key":"10.3233\/JCM-204595_ref10","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3233\/JCM-191003","article-title":"Optimization strategy of computer programming for mathematical algorithm of facial recognition model","volume":"19","author":"Fang","year":"2019","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"issue":"3","key":"10.3233\/JCM-204595_ref11","doi-asserted-by":"crossref","first-page":"537","DOI":"10.3233\/JCM-150566","article-title":"Facial expression recognition based on characteristics of block LGBP and sparse representation","volume":"15","author":"Ma","year":"2015","journal-title":"Journal of Computational Methods in Sciences and Engineering"},{"key":"10.3233\/JCM-204595_ref12","first-page":"1","article-title":"Face recognition using composite features based on discriminant analysis","author":"Choi","year":"2018","journal-title":"IEEE Access"},{"issue":"12","key":"10.3233\/JCM-204595_ref13","doi-asserted-by":"crossref","first-page":"2037","DOI":"10.1109\/TPAMI.2006.244","article-title":"Face description with local binary patterns: application to face recognition","volume":"28","author":"Ahonen","year":"2006","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.3233\/JCM-204595_ref14","unstructured":"C.J. Li, J.W. Liu, A.N. Wang et al., Matrix reduction based on generalized PCA method in face recognition, International Conference on Digital Home, IEEE, 2014."},{"key":"10.3233\/JCM-204595_ref15","doi-asserted-by":"crossref","unstructured":"Y. Liu, Y. Cao, Y. Li et al., Facial expression recognition with PCA and LBP features extracting from active facial patches, IEEE International Conference on Real Time Computing and Robotics (2016), 368\u2013373.","DOI":"10.1109\/RCAR.2016.7784056"},{"key":"10.3233\/JCM-204595_ref16","doi-asserted-by":"crossref","unstructured":"M. Abdulrahman, T.R. Gwadabe, F.J. Abdu et al., Gabor wavelets transform based facial expression recognition using PCA and LBP, Signal processing and communications applications conference, 2014, pp. 2265\u20132268.","DOI":"10.1109\/SIU.2014.6830717"},{"key":"10.3233\/JCM-204595_ref17","doi-asserted-by":"crossref","unstructured":"F. Schroff, D. Kalenichenko and J. 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