{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T16:54:33Z","timestamp":1782147273506,"version":"3.54.5"},"reference-count":20,"publisher":"Allerton Press","issue":"1","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Aut. Control Comp. Sci."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.3103\/s0146411626700100","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T16:25:30Z","timestamp":1782145530000},"page":"93-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Face Recognition under the Influence of Occlusion Based on OpenCV and MTCNN"],"prefix":"10.3103","volume":"60","author":[{"family":"Qin Dong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1627","published-online":{"date-parts":[[2026,6,22]]},"reference":[{"key":"7955_CR1","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1080\/21642583.2020.1836526","volume":"9","author":"P. Lu","year":"2021","unstructured":"Lu, P., Song, B., and Xu, L., Human face recognition based on convolutional neural network and augmented dataset, Syst. Sci. Control Eng., 2021, vol. 9, suppl. 2, pp. 29\u201337. https:\/\/doi.org\/10.1080\/21642583.2020.1836526","journal-title":"Syst. Sci. Control Eng."},{"key":"7955_CR2","doi-asserted-by":"publisher","first-page":"43","DOI":"10.26480\/aim.02.2022.43.46","volume":"6","author":"K. Vikalwe Shakrani","year":"2022","unstructured":"Vikalwe Shakrani, K., Mathew Kanyangarara, N., Tinashe Parowa, P., Gupta, V., and Kumar, R., A deep learning model for face recognition in presence of mask, Acta Informatica Malaysia, 2022, vol. 6, no. 2, pp. 43\u201346. https:\/\/doi.org\/10.26480\/aim.02.2022.43.46","journal-title":"Acta Informatica Malaysia"},{"key":"7955_CR3","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1109\/tts.2020.2974996","volume":"1","author":"K.S. Krishnapriya","year":"2020","unstructured":"Krishnapriya, K.S., Albiero, V., Vangara, K., King, M.C., and Bowyer, K.W., Issues related to face recognition accuracy varying based on race and skin tone, IEEE Trans. Technol. Soc., 2020, vol. 1, no. 1, pp. 8\u201320. https:\/\/doi.org\/10.1109\/tts.2020.2974996","journal-title":"IEEE Trans. Technol. Soc."},{"key":"7955_CR4","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1007\/s00429-021-02370-0","volume":"227","author":"B. Rossion","year":"2022","unstructured":"Rossion, B. and Lochy, A., Is human face recognition lateralized to the right hemisphere due to neural competition with left-lateralized visual word recognition? A critical review, Brain Struct. Funct., 2022, vol. 227, no. 2, pp. 599\u2013629. https:\/\/doi.org\/10.1007\/s00429-021-02370-0","journal-title":"Brain Struct. Funct."},{"key":"7955_CR5","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.11591\/ijeecs.v20.i3.pp1513-1521","volume":"20","author":"K.D. Ismael","year":"2020","unstructured":"Ismael, K.D. and Irina, S., Face recognition using Viola\u2013Jones depending on Python, Indonesian Journal of Electrical Engineering and Computer Science, 2020, vol. 20, no. 3, pp. 1513\u20131521. https:\/\/doi.org\/10.11591\/ijeecs.v20.i3.pp1513-1521","journal-title":"Indonesian Journal of Electrical Engineering and Computer Science"},{"key":"7955_CR6","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1109\/tpami.2022.3169734","volume":"45","author":"Zh. Zhu","year":"2022","unstructured":"Zhu, Zh., Huang, G., Deng, J., Ye, Yu., Huang, J., Chen, X., Zhu, J., Yang, T., Du, D., Lu, J., and Zhou, J., WebFace260M: A benchmark for million-scale deep face recognition, IEEE Trans. Pattern Anal. Mach. Intell., 2022, vol. 45, no. 2, pp. 2627\u20132644. https:\/\/doi.org\/10.1109\/tpami.2022.3169734","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7955_CR7","doi-asserted-by":"publisher","first-page":"4798","DOI":"10.1109\/tcsvt.2021.3055197","volume":"31","author":"F. Li","year":"2021","unstructured":"Li, F., Zhang, Ya., and Cosman, P.C., MMMNet: An end-to-end multi-task deep convolution neural network with multi-scale and multi-hierarchy fusion for blind image quality assessment, IEEE Trans. Circuits Syst. Video Technol., 2021, vol. 31, no. 12, pp. 4798\u20134811. https:\/\/doi.org\/10.1109\/tcsvt.2021.3055197","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"7955_CR8","doi-asserted-by":"publisher","first-page":"10946","DOI":"10.1109\/jsen.2021.3061595","volume":"21","author":"Ya. Wang","year":"2021","unstructured":"Wang, Ya., Yang, M., Li, Yo., Xu, Z., Wang, J., and Fang, X., A multi-input and multi-task convolutional neural network for fault diagnosis based on bearing vibration signal, IEEE Sens. J., 2021, vol. 21, no. 9, pp. 10946\u201310956. https:\/\/doi.org\/10.1109\/jsen.2021.3061595","journal-title":"IEEE Sens. J."},{"key":"7955_CR9","doi-asserted-by":"publisher","first-page":"962","DOI":"10.1039\/d0me00020e","volume":"5","author":"Yi. Wang","year":"2020","unstructured":"Wang, Yi., Zhang, M., Lin, A., Iyer, A., Prasad, A.Sh., Li, X., Zhang, Yi., Schadler, L.S., Chen, W., and Brinson, L.C., Mining structure\u2013property relationships in polymer nanocomposites using data driven finite element analysis and multi-task convolutional neural networks, Mol. Syst. Des. Eng., 2020, vol. 5, no. 5, pp. 962\u2013975. https:\/\/doi.org\/10.1039\/d0me00020e","journal-title":"Mol. Syst. Des. Eng."},{"key":"7955_CR10","doi-asserted-by":"publisher","first-page":"7607","DOI":"10.1364\/oe.388491","volume":"28","author":"Yi. Cheng","year":"2020","unstructured":"Cheng, Yi., Zhang, W., Fu, S., Tang, M., and Liu, D., Transfer learning simplified multi-task deep neural network for PDM-64QAM optical performance monitoring, Opt. Express, 2020, vol. 28, no. 5, pp. 7607\u20137617. https:\/\/doi.org\/10.1364\/oe.388491","journal-title":"Opt. Express"},{"key":"7955_CR11","doi-asserted-by":"publisher","first-page":"14391","DOI":"10.1109\/jsen.2020.3009194","volume":"20","author":"B. Zhang","year":"2020","unstructured":"Zhang, B., Hong, X., and Liu, Yu., Multi-task deep transfer learning method for guided wave-based integrated health monitoring using piezoelectric transducers, IEEE Sens. J., 2020, vol. 20, no. 23, pp. 14391\u201314400. https:\/\/doi.org\/10.1109\/jsen.2020.3009194","journal-title":"IEEE Sens. J."},{"key":"7955_CR12","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1080\/13682199.2020.1738741","volume":"68","author":"P. Payal","year":"2020","unstructured":"Payal, P. and Goyani, M.M., A comprehensive study on face recognition: methods and challenges, Imaging Sci. J., 2020, vol. 68, no. 2, pp. 114\u2013127. https:\/\/doi.org\/10.1080\/13682199.2020.1738741","journal-title":"Imaging Sci. J."},{"key":"7955_CR13","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1080\/17439884.2020.1686014","volume":"45","author":"M. Andrejevic","year":"2020","unstructured":"Andrejevic, M. and Selwyn, N., Facial recognition technology in schools: critical questions and concerns, Learn., Media Technol., 2020, vol. 45, no. 2, pp. 115\u2013128. https:\/\/doi.org\/10.1080\/17439884.2020.1686014","journal-title":"Learn., Media Technol."},{"key":"7955_CR14","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/tbiom.2020.3027269","volume":"3","author":"J.G. Cavazos","year":"2023","unstructured":"Cavazos, J.G., Phillips, P.J., Castillo, C.D., and O\u2019Toole, A.J., Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?, IEEE Trans. Biom., Behav., \n               Identity Sci., 2023, vol. 3, no. 1, pp. 101\u2013111. https:\/\/doi.org\/10.1109\/tbiom.2020.3027269","journal-title":"Identity Sci."},{"key":"7955_CR15","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1007\/s11760-021-02050-w","volume":"16","author":"W. Hariri","year":"2022","unstructured":"Hariri, W., Efficient masked face recognition method during the COVID-19 pandemic, Signal, Image Video Process., 2022, vol. 16, no. 3, pp. 605\u2013612. https:\/\/doi.org\/10.1007\/s11760-021-02050-w","journal-title":"Signal, Image Video Process."},{"key":"7955_CR16","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/tbiom.2021.3104014","volume":"4","author":"L. Zhang","year":"2021","unstructured":"Zhang, L., Sun, L., Yu, L., Dong, X., Chen, J., Cai, W., Wang, Ch., and Ning, X., ARFace: Attention-aware and regularization for face recognition with reinforcement learning, IEEE Trans. Biom., Behav., \n               Identity Sci., 2021, vol. 4, no. 1, pp. 30\u201342. https:\/\/doi.org\/10.1109\/tbiom.2021.3104014","journal-title":"Identity Sci."},{"key":"7955_CR17","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/s43681-022-00146-8","volume":"3","author":"R.A. Waelen","year":"2023","unstructured":"Waelen, R.A., The struggle for recognition in the age of facial recognition technology, AI and Ethics, 2023, vol.\u00a03, no. 1, pp. 215\u2013222. https:\/\/doi.org\/10.1007\/s43681-022-00146-8","journal-title":"AI and Ethics"},{"key":"7955_CR18","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1109\/tmi.2021.3117495","volume":"41","author":"F. Uslu","year":"2021","unstructured":"Uslu, F., Varela, M., Boniface, G., Mahenthran, T., Chubb, H., and Bharath, A.A., LA-Net: A multi-task deep network for the segmentation of the left atrium, IEEE Trans. Med. Imaging, 2021, vol. 41, no. 2, pp. 456\u2013464. https:\/\/doi.org\/10.1109\/tmi.2021.3117495","journal-title":"IEEE Trans. Med. Imaging"},{"key":"7955_CR19","doi-asserted-by":"publisher","first-page":"2752","DOI":"10.1109\/tpami.2020.2976014","volume":"43","author":"D. Luvizon","year":"2020","unstructured":"Luvizon, D., Picard, D., and Tabia, H., Multi-task deep learning for real-time 3D human pose estimation and action recognition, IEEE Trans. Pattern Anal. Mach. Intell., 2020, vol. 43, no. 8, pp. 2752\u20132764. https:\/\/doi.org\/10.1109\/tpami.2020.2976014","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"7955_CR20","doi-asserted-by":"publisher","first-page":"129","DOI":"10.47852\/bonviewaia3202549","volume":"1","author":"S. Pal","year":"2023","unstructured":"Pal, S., Roy, A., Palaiahnakote, Sh., and Pal, U., Adapting a swin transformer for license plate number and text detection in drone images, Artificial Intelligence and Applications, 2023, vol. 1, no. 3, pp. 129\u2013138. https:\/\/doi.org\/10.47852\/bonviewaia3202549","journal-title":"Artificial Intelligence and Applications"}],"container-title":["Automatic Control and Computer Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.3103\/S0146411626700100.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.3103\/S0146411626700100","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.3103\/S0146411626700100.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T16:25:31Z","timestamp":1782145531000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.3103\/S0146411626700100"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":20,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["7955"],"URL":"https:\/\/doi.org\/10.3103\/s0146411626700100","relation":{},"ISSN":["0146-4116","1558-108X"],"issn-type":[{"value":"0146-4116","type":"print"},{"value":"1558-108X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"1 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 July 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"As author of this work, I declare that I have no conflicts of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"CONFLICT OF INTEREST"}}]}}