{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T01:45:13Z","timestamp":1770342313305,"version":"3.49.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T00:00:00Z","timestamp":1609632000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T00:00:00Z","timestamp":1609632000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Iran J Comput Sci"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s42044-020-00076-w","type":"journal-article","created":{"date-parts":[[2021,1,3]],"date-time":"2021-01-03T13:02:47Z","timestamp":1609678967000},"page":"185-194","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Designing a new recurrent convolutional neural network for face detection and recognition in a color image"],"prefix":"10.1007","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1209-1811","authenticated-orcid":false,"given":"Jafar","family":"Tavoosi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,1,3]]},"reference":[{"key":"76_CR1","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.patrec.2018.05.024","volume":"119","author":"D Zeng","year":"2019","unstructured":"Zeng, D., Zhao, F., Ge, S., Shen, W.: Fast cascade face detection with pyramid network. Pattern. Recogn. Lett. 119, 180\u2013186 (2019)","journal-title":"Pattern. Recogn. Lett."},{"key":"76_CR2","doi-asserted-by":"crossref","unstructured":"Wechsler, H., Toor, A.S.: Modern art challenges face detection. Pattern. Recogn. Lett. (In Press, Corrected) (2018)","DOI":"10.1016\/j.patrec.2018.02.014"},{"issue":"92\u2013104","key":"76_CR3","first-page":"2019","volume":"72","author":"R Soundararajan","year":"2019","unstructured":"Soundararajan, R., Biswas, S.: Machine vision quality assessment for robust face detection. Signal Process Image Commun. 72(92\u2013104), 2019 (2019)","journal-title":"Signal Process Image Commun."},{"key":"76_CR4","doi-asserted-by":"publisher","first-page":"5815","DOI":"10.1007\/s00521-019-04055-6","volume":"32","author":"G Wang","year":"2020","unstructured":"Wang, G., Shi, N.: Collaborative representation-based discriminant neighborhood projections for face recognition. Neural Comput. Appl. 32, 5815\u20135832 (2020)","journal-title":"Neural Comput. Appl."},{"key":"76_CR5","doi-asserted-by":"crossref","unstructured":"Wu, X., Tao, R., Hong, D., et al.: The FrFT convolutional face: toward robust face recognition using the fractional Fourier transform and convolutional neural networks. Sci. China Inf. Sci. 63 (2020)","DOI":"10.1007\/s11432-018-9862-9"},{"key":"76_CR6","doi-asserted-by":"publisher","unstructured":"Tabejamaat, M., Mousavi, A., Gavrilova, M.L.: Local comparative decimal pattern for face recognition. Intern. J. Pattern Recogn. Artif. Intell. https:\/\/doi.org\/10.1142\/S0218001420560066 (In press)","DOI":"10.1142\/S0218001420560066"},{"key":"76_CR7","doi-asserted-by":"publisher","unstructured":"Wolf, L.: Face recognition, geometric vs. appearance-based. In: Li, S.Z., Jain A. (eds.) Encyclopedia of biometrics. Springer, Boston (2009) https:\/\/doi.org\/10.1007\/978-0-387-73003-5_92.","DOI":"10.1007\/978-0-387-73003-5_92"},{"key":"76_CR8","doi-asserted-by":"publisher","unstructured":"Molder, C., Oancea, R.: Appearance-based facial detection for recognition. In: 9th International Conference on Communications (COMM), Bucharest (pp. 119\u2013122) https:\/\/doi.org\/10.1109\/ICComm.2012.6262545 (2012)","DOI":"10.1109\/ICComm.2012.6262545"},{"key":"76_CR9","doi-asserted-by":"crossref","unstructured":"Ejaz, M. S., Islam, M. R., Sifatullah, M., Sarker, A.: Implementation of principal component analysis on masked and non-masked face recognition. In: 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), Dhaka, Bangladesh (pp. 1\u20135) (2019)","DOI":"10.1109\/ICASERT.2019.8934543"},{"issue":"9\/10","key":"76_CR10","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1108\/ILS-03-2018-0023","volume":"119","author":"I Zaqout","year":"2018","unstructured":"Zaqout, I., Al-Hanjori, M.: An improved technique for face recognition applications. Inform. Learn. Sci. 119(9\/10), 529\u2013544 (2018). https:\/\/doi.org\/10.1108\/ILS-03-2018-0023","journal-title":"Inform. Learn. Sci."},{"issue":"10","key":"76_CR11","doi-asserted-by":"publisher","first-page":"2344","DOI":"10.1016\/j.ijleo.2013.10.071","volume":"125","author":"Wu Shuai","year":"2014","unstructured":"Shuai, Wu.: Quaternion-based improved LPP method for color face recognition. Optik 125(10), 2344\u20132349 (2014)","journal-title":"Optik"},{"key":"76_CR12","doi-asserted-by":"publisher","unstructured":"Cai, D., He, X., Hu, Y., Han, J., Huang, T.: Learning a spatially smooth subspace for face recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, MN (pp. 1\u20137) doi: https:\/\/doi.org\/10.1109\/CVPR.2007.383054 (2007)","DOI":"10.1109\/CVPR.2007.383054"},{"key":"76_CR13","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.jvcir.2016.09.012","volume":"41","author":"C-T Huang","year":"2016","unstructured":"Huang, C.-T., Wang, Z., Jay Kuo, C.-C.: Visible-light and near-infrared face recognition at a distance. J. Vis. Commun. Image Represent. 41, 140\u2013153 (2016)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"76_CR14","doi-asserted-by":"publisher","unstructured":"Sahoolizadeh, H., Aliyari Ghassabeh, Y.: Face recognition using Eigen-faces, fisher-faces and neural networks. In: 7th IEEE International Conference on Cybernetic Intelligent Systems, London (pp. 1\u20136) https:\/\/doi.org\/10.1109\/UKRICIS.2008.4798953 (2008)","DOI":"10.1109\/UKRICIS.2008.4798953"},{"issue":"3","key":"76_CR15","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","volume":"27","author":"X He","year":"2005","unstructured":"He, X., Yan, S., Hu, Y., Niyogi, P., Zhang, H.-J.: Face recognition using Laplacianfaces. IEEE Trans. Pattern Anal. Mach. Intell. 27(3), 328\u2013340 (2005). https:\/\/doi.org\/10.1109\/TPAMI.2005.55","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"76_CR16","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1007\/s40815-016-0188-7","volume":"19","author":"J Tavoosi","year":"2017","unstructured":"Tavoosi, J., Suratgar, A.A., Menhaj, M.B.: Stability analysis of a class of MIMO recurrent type-2 fuzzy systems. Int. J. Fuzzy Syst. 19(3), 895\u2013908 (2017)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"1","key":"76_CR17","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s00521-015-2036-3","volume":"28","author":"J Tavoosi","year":"2017","unstructured":"Tavoosi, J., Suratgar, A.A., Menhaj, M.B.: Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part. Neural Comput. Appl. 28(1), 47\u201356 (2017)","journal-title":"Neural Comput. Appl."},{"issue":"1","key":"76_CR18","first-page":"148","volume":"9","author":"Y Pour Asad","year":"2016","unstructured":"Pour Asad, Y., Shamsi, A., Ivani, H., Tavoosi, J.: Adaptive intelligent inverse control of nonlinear systems with regard to sensor noise and parameter uncertainty (magnetic ball levitation system case study). Intern. J. Smart Sens. Intell. Syst. 9(1), 148\u2013169 (2016)","journal-title":"Intern. J. Smart Sens. Intell. Syst."},{"issue":"2","key":"76_CR19","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1142\/S0218488517500088","volume":"25","author":"YP Asad","year":"2017","unstructured":"Asad, Y.P., Shamsi, A., Tavoosi, J.: Backstepping-based recurrent type-2 fuzzy sliding mode control for MIMO systems (MEMS triaxial gyroscope case study). Intern. J. Unc. Fuzz Knowl Based Syst 25(2), 213\u2013233 (2017)","journal-title":"Intern. J. Unc. Fuzz Knowl Based Syst"},{"issue":"3","key":"76_CR20","first-page":"153","volume":"5","author":"J Tavoosi","year":"2016","unstructured":"Tavoosi, J., Rahmati, S.: New applications on linguistic mathematical structures and stability analysis of linguistic fuzzy models. Intern. J. Smart Electr. Eng. 5(3), 153\u2013159 (2016)","journal-title":"Intern. J. Smart Electr. Eng."},{"key":"76_CR21","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1016\/j.neucom.2015.12.030","volume":"182","author":"J Tavoosi","year":"2016","unstructured":"Tavoosi, J., Suratgar, A.A., Menhaj, M.B.: Stable ANFIS2 for nonlinear system identification. Neurocomputing 182, 235\u2013246 (2016)","journal-title":"Neurocomputing"},{"key":"76_CR22","doi-asserted-by":"crossref","unstructured":"Tavoosi, J., Suratgar, A. A., Menhaj, M. B.: Nonlinear system identification based on a self-organizing type-2 fuzzy RBFN. Eng. Appl. Artif. Intell. 54 (2016)","DOI":"10.1016\/j.engappai.2016.04.006"},{"key":"76_CR23","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00521-012-0981-7","volume":"23","author":"J Tavoosi","year":"2013","unstructured":"Tavoosi, J., Badamchizadeh, M.A.: A class of type-2 fuzzy neural networks for nonlinear dynamical system identification. Neural Comput. Appl. 23, 707\u2013717 (2013)","journal-title":"Neural Comput. Appl."},{"key":"76_CR24","doi-asserted-by":"publisher","unstructured":"Tavoosi, J.: A new type-2 fuzzy systems for flexible-joint robot arm control. AUT J. Model. Simul. https:\/\/doi.org\/10.22060\/miscj.2019.14478.5108 (2019)","DOI":"10.22060\/miscj.2019.14478.5108"},{"key":"76_CR25","first-page":"57","volume":"10","author":"J Tavoosi","year":"2019","unstructured":"Tavoosi, J., Azami, R.: A new method for controlling the speed of a surface permanent magnet synchronous motor using fuzzy comparative controller with hybrid learning. J. Comput. Intell. Electr. Eng. 10, 57\u201368 (2019)","journal-title":"J. Comput. Intell. Electr. Eng."},{"issue":"2","key":"76_CR26","first-page":"52","volume":"5","author":"J Tavoosi","year":"2011","unstructured":"Tavoosi, J., Badamchizadeh, M.A., Ghaemi, S.: Adaptive inverse control of nonlinear dynamical system using type-2 fuzzy neural networks. J. Control 5(2), 52\u201360 (2011)","journal-title":"J. Control"},{"issue":"1","key":"76_CR27","first-page":"35","volume":"5","author":"MS Hesarian","year":"2019","unstructured":"Hesarian, M.S., Tavoosi, J.: Green technology used in finishing process study of the wrinkled cotton fabric by radial basis function neurons(experimental and modeling analysis). Adv. Environ. Technol. 5(1), 35\u201345 (2019)","journal-title":"Adv. Environ. Technol."},{"key":"76_CR28","doi-asserted-by":"crossref","unstructured":"Kumar, S., L. Suresh, L.: Fruit fly-based artificial neural network classifier with kernel-based fuzzy c-means clustering for satellite image classification. Intern J. Image Graph. 20, 2 (2020)","DOI":"10.1142\/S0219467820500163"},{"issue":"3","key":"76_CR29","doi-asserted-by":"publisher","first-page":"287","DOI":"10.3233\/ICA-200623","volume":"27","author":"AS Garc\u00eda","year":"2020","unstructured":"Garc\u00eda, A.S., Fern\u00e1ndez-Sotos, P., Vicente-Querol, M.A., Lahera, G., Rodriguez-Jimenez, R., Fern\u00e1ndez-Caballero, A.: Design of reliable virtual human facial expressions and validation by healthy people. Integr. Comput. Aided Eng. 27(3), 287\u2013299 (2020)","journal-title":"Integr. Comput. Aided Eng."},{"issue":"23","key":"76_CR30","first-page":"332","volume":"12","author":"AK Agrawal","year":"2020","unstructured":"Agrawal, A.K., Singh, Y.N.: Unconstrained face recognition using deep convolution neural network. Intern. J. Inform. Comput. Secu. 12(23), 332\u2013348 (2020)","journal-title":"Intern. J. Inform. Comput. Secu."},{"issue":"21","key":"76_CR31","first-page":"03","volume":"19","author":"M Nimbarte","year":"2020","unstructured":"Nimbarte, M., Bhoyar, K.K.: Biased face patching approach for age invariant face recognition using convolutional neural network. Intern. J. Intell. Syst. Technol. Appl. 19(21), 03\u2013124 (2020)","journal-title":"Intern. J. Intell. Syst. Technol. Appl."},{"key":"76_CR32","doi-asserted-by":"crossref","unstructured":"Tang J., Su, Q., Su, B. Fong, S., Cao, W., Gong, X.: Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition. Comput. Methods Progr. Biomed. 197 (2020)","DOI":"10.1016\/j.cmpb.2020.105622"},{"issue":"1","key":"76_CR33","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/TNNLS.2018.2836933","volume":"30","author":"B Xu","year":"2019","unstructured":"Xu, B., Liu, Q., Huang, T.: A discrete-time projection neural network for sparse signal reconstruction with application to face recognition. IEEE Trans. Neural Netw. Learn. Syst. 30(1), 151\u2013162 (2019)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"76_CR34","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.1007\/s00521-018-3649-0","volume":"32","author":"WNI Al-Obaydy","year":"2020","unstructured":"Al-Obaydy, W.N.I., Suandi, S.A.: Open-set single-sample face recognition in video surveillance using fuzzy ARTMAP. Neural Comput. Appl. 32, 1405\u20131412 (2020)","journal-title":"Neural Comput. Appl."},{"key":"76_CR35","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s42044-018-00027-6","volume":"2","author":"J Bagherzadeh","year":"2019","unstructured":"Bagherzadeh, J., Asil, H.: A review of various semi-supervised learning models with a deep learning and memory approach. Iran J. Comput. Sci. 2, 65\u201380 (2019)","journal-title":"Iran J. Comput. Sci."},{"issue":"4","key":"76_CR36","first-page":"277","volume":"5","author":"N Tavakolian","year":"2018","unstructured":"Tavakolian, N., Nazemi, A., Azimifar, Z., Murray, I.: Face recognition under occlusion for user authentication and invigilation in remotely distributed online assessments. Intern. J. Intell. Defence Support Syst. 5(4), 277\u2013297 (2018)","journal-title":"Intern. J. Intell. Defence Support Syst."},{"issue":"3","key":"76_CR37","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1504\/IJBM.2019.100829","volume":"11","author":"M George","year":"2019","unstructured":"George, M., Sivan, A., Jose, B.R., Mathew, J.: Real-time single-view face detection and face recognition based on aggregate channel feature. Intern. J. Biometr. 11(3), 207\u2013221 (2019)","journal-title":"Intern. J. Biometr."},{"key":"76_CR38","doi-asserted-by":"crossref","unstructured":"Ben Fredj, H., Bouguezzi, S. & Souani, C. Face recognition in unconstrained environment with CNN. Vis Comput 2020.","DOI":"10.1007\/s00371-020-01794-9"},{"key":"76_CR39","doi-asserted-by":"crossref","unstructured":"Lin, K., Zhao, H., Lv, J., Li, C., Liu, X., Chen, R., Zhao, R.: Face detection and segmentation based on improved mask R-CNN. Discrete Dyn. Nat. Soc. (2020)","DOI":"10.1155\/2020\/9242917"},{"key":"76_CR40","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/s42452-020-2234-1","volume":"2","author":"N Mehendale","year":"2020","unstructured":"Mehendale, N.: Facial emotion recognition using convolutional neural networks (FERC). SN Appl. Sci. 2, 446 (2020)","journal-title":"SN Appl. Sci."},{"key":"76_CR41","doi-asserted-by":"publisher","first-page":"45244","DOI":"10.1109\/ACCESS.2020.2978938","volume":"8","author":"A Song","year":"2020","unstructured":"Song, A., Hu, Q., Ding, X., Di, X., Song, Z.: Similar face recognition using the IE-CNN model. IEEE Access 8, 45244\u201345253 (2020)","journal-title":"IEEE Access"}],"container-title":["Iran Journal of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42044-020-00076-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42044-020-00076-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42044-020-00076-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T08:08:57Z","timestamp":1629360537000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42044-020-00076-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,3]]},"references-count":41,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["76"],"URL":"https:\/\/doi.org\/10.1007\/s42044-020-00076-w","relation":{},"ISSN":["2520-8438","2520-8446"],"issn-type":[{"value":"2520-8438","type":"print"},{"value":"2520-8446","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,3]]},"assertion":[{"value":"10 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}