{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T11:22:25Z","timestamp":1762341745981,"version":"3.37.3"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T00:00:00Z","timestamp":1635897600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T00:00:00Z","timestamp":1635897600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"The Major Special Projects of Zhongshan","award":["200824103628344"],"award-info":[{"award-number":["200824103628344"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s00521-021-06630-2","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T19:02:39Z","timestamp":1635966159000},"page":"3589-3601","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Improving finger vein discriminant representation using dynamic margin softmax loss"],"prefix":"10.1007","volume":"34","author":[{"given":"Huachuan","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5150-3482","authenticated-orcid":false,"given":"Yi","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guiduo","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ci","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,3]]},"reference":[{"issue":"7","key":"6630_CR1","doi-asserted-by":"publisher","first-page":"3367","DOI":"10.1016\/j.eswa.2013.11.033","volume":"41","author":"MSM Asaari","year":"2014","unstructured":"Asaari MSM, Suandi SA, Rosdi BA (2014) Fusion of band limited phase only correlation and width centroid contour distance for finger based biometrics. Exp Syst Appl 41(7):3367\u20133382","journal-title":"Exp Syst Appl"},{"key":"6630_CR2","doi-asserted-by":"crossref","unstructured":"Deng J, Guo J, Niannan X, Zafeiriou S (2019) Arcface: Additive angular margin loss for deep face recognition. In: CVPR","DOI":"10.1109\/CVPR.2019.00482"},{"key":"6630_CR3","doi-asserted-by":"publisher","unstructured":"Hu H, Kang W, Lu Y, Fang Y, Liu H, Zhao J, Deng F (2018) Fv-net: learning a finger-vein feature representation based on a cnn. In: 2018 24th International Conference on Pattern Recognition (ICPR), pp. 3489\u20133494. doi: https:\/\/doi.org\/10.1109\/ICPR.2018.8546007","DOI":"10.1109\/ICPR.2018.8546007"},{"key":"6630_CR4","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: F.\u00a0Pereira, C.J.C. Burges, L.\u00a0Bottou, K.Q. Weinberger (eds.) Advances in Neural Information Processing Systems 25, pp. 1097\u20131105. Curran Associates, Inc. http:\/\/papers.nips.cc\/paper\/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf"},{"issue":"4","key":"6630_CR5","doi-asserted-by":"publisher","first-page":"2228","DOI":"10.1109\/TIP.2011.2171697","volume":"21","author":"A Kumar","year":"2012","unstructured":"Kumar A, Zhou Y (2012) Human identification using finger images. IEEE Trans Image Process 21(4):2228\u20132244. https:\/\/doi.org\/10.1109\/TIP.2011.2171697","journal-title":"IEEE Trans Image Process"},{"key":"6630_CR6","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.neucom.2014.05.069","volume":"145","author":"F Liu","year":"2014","unstructured":"Liu F, Yang G, Yin Y, Wang S (2014) Singular value decomposition based minutiae matching method for finger vein recognition. Neurocomputing 145:75\u201389","journal-title":"Neurocomputing"},{"key":"6630_CR7","doi-asserted-by":"crossref","unstructured":"Liu W, Wen Y, Yu Z, Li M, Raj B, Song L (2017) Sphereface: deep hypersphere embedding for face recognition. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","DOI":"10.1109\/CVPR.2017.713"},{"key":"6630_CR8","unstructured":"Liu W, Wen Y, Yu Z, Yang M (2016) Large-margin softmax loss for convolutional neural networks. In: MF Balcan, KQ Weinberger (eds.) Proceedings of The 33rd International Conference on Machine Learning. Proceedings of Machine Learning Research, vol.\u00a048, pp. 507\u2013516. PMLR, New York, New York, USA. http:\/\/proceedings.mlr.press\/v48\/liud16.html"},{"key":"6630_CR9","doi-asserted-by":"publisher","first-page":"35113","DOI":"10.1109\/ACCESS.2019.2902429","volume":"7","author":"Y Lu","year":"2019","unstructured":"Lu Y, Xie S, Wu S (2019) Exploring competitive features using deep convolutional neural network for finger vein recognition. IEEE Access 7:35113\u201335123. https:\/\/doi.org\/10.1109\/ACCESS.2019.2902429","journal-title":"IEEE Access"},{"key":"6630_CR10","doi-asserted-by":"publisher","unstructured":"Lu Y, Xie SJ, Yoon S, Wang Z, Park DS (2013) An available database for the research of finger vein recognition. In: 2013 6th International Congress on Image and Signal Processing (CISP), 01:410\u2013415. https:\/\/doi.org\/10.1109\/CISP.2013.6744030","DOI":"10.1109\/CISP.2013.6744030"},{"issue":"4","key":"6630_CR11","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/s00138-004-0149-2","volume":"15","author":"N Miura","year":"2004","unstructured":"Miura N, Nagasaka A, Miyatake T (2004) Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Mach Vis Appl 15(4):194\u2013203. https:\/\/doi.org\/10.1007\/s00138-004-0149-2","journal-title":"Mach Vis Appl"},{"issue":"8","key":"6630_CR12","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1093\/ietisy\/e90-d.8.1185","volume":"E90\u2013D","author":"N Miura","year":"2007","unstructured":"Miura N, Nagasaka A, Miyatake T (2007) Extraction of finger-vein patterns using maximum curvature points in image profiles. IEICE Trans Inf Syst E90\u2013D(8):1185\u20131194. https:\/\/doi.org\/10.1093\/ietisy\/e90-d.8.1185","journal-title":"IEICE Trans Inf Syst"},{"issue":"7","key":"6630_CR13","doi-asserted-by":"publisher","first-page":"971","DOI":"10.1109\/TPAMI.2002.1017623","volume":"24","author":"T Ojala","year":"2002","unstructured":"Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971\u2013987. https:\/\/doi.org\/10.1109\/TPAMI.2002.1017623","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"6630_CR14","doi-asserted-by":"publisher","first-page":"1816","DOI":"10.1109\/TIFS.2017.2689724","volume":"12","author":"H Qin","year":"2017","unstructured":"Qin H, El-Yacoubi MA (2017) Deep representation-based feature extraction and recovering for finger-vein verification. IEEE Trans Inform Forens Secur 12(8):1816\u20131829. https:\/\/doi.org\/10.1109\/TIFS.2017.2689724","journal-title":"IEEE Trans Inform Forens Secur"},{"issue":"3","key":"6630_CR15","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.3906\/elk-1311-43","volume":"24","author":"SA Radzi","year":"2016","unstructured":"Radzi SA, Khalil-Hani M, Bakhteri R (2016) Finger-vein biometric identification using convolutional neural network. Turk J Electr Eng Comput Sci 24(3):1863\u20131878","journal-title":"Turk J Electr Eng Comput Sci"},{"key":"6630_CR16","doi-asserted-by":"publisher","unstructured":"Taigman Y, Yang M, Ranzato M, Wolf L (2014) Deepface: Closing the gap to human-level performance in face verification. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1701\u20131708. doi: https:\/\/doi.org\/10.1109\/CVPR.2014.220","DOI":"10.1109\/CVPR.2014.220"},{"issue":"7","key":"6630_CR17","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1109\/LSP.2018.2822810","volume":"25","author":"F Wang","year":"2018","unstructured":"Wang F, Cheng J, Liu W, Liu H (2018) Additive margin softmax for face verification. IEEE Sig Process Lett 25(7):926\u2013930. https:\/\/doi.org\/10.1109\/LSP.2018.2822810","journal-title":"IEEE Sig Process Lett"},{"key":"6630_CR18","doi-asserted-by":"publisher","unstructured":"Wang F, Xiang, X, Cheng J, Yuille AL (2017) Normface: L2 hypersphere embedding for face verification. In: Proceedings of the 25th ACM International Conference on Multimedia, MM \u201917, pp. 1041\u20131049. ACM, New York, NY, USA. doi: https:\/\/doi.org\/10.1145\/3123266.3123359","DOI":"10.1145\/3123266.3123359"},{"issue":"2","key":"6630_CR19","first-page":"324249","volume":"2012","author":"G Yang","year":"2012","unstructured":"Yang G, Xi X, Yin Y (2012) Finger vein recognition based on (2d)$$^2$$ pca and metric learning. J Biomed Biotechnol 2012(2):324249","journal-title":"J Biomed Biotechnol"},{"key":"6630_CR20","first-page":"234","volume-title":"Biometric Recognition","author":"L Yang","year":"2014","unstructured":"Yang L, Yang G, Yin Y, Zhou L (2014) A survey of finger vein recognition. In: Sun Z, Shan S, Sang H, Zhou J, Wang Y, Yuan W (eds) Biometric Recognition. Springer International Publishing, Cham, pp 234\u2013243"},{"issue":"9","key":"6630_CR21","doi-asserted-by":"publisher","first-page":"2512","DOI":"10.1109\/TIFS.2019.2902819","volume":"14","author":"W Yang","year":"2019","unstructured":"Yang W, Hui C, Chen Z, Xue J, Liao Q (2019) Fv-gan: finger vein representation using generative adversarial networks. IEEE Trans Inform Forens Secur 14(9):2512\u20132524. https:\/\/doi.org\/10.1109\/TIFS.2019.2902819","journal-title":"IEEE Trans Inform Forens Secur"},{"key":"6630_CR22","doi-asserted-by":"publisher","unstructured":"Yang W, Yu X, Liao Q (2009) Personal authentication using finger vein pattern and finger-dorsa texture fusion. In: Proceedings of the 17th ACM International Conference on Multimedia, MM \u201909, p. 905\u2013908. Association for Computing Machinery, New York, NY, USA. doi: https:\/\/doi.org\/10.1145\/1631272.1631444","DOI":"10.1145\/1631272.1631444"},{"key":"6630_CR23","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/978-3-642-25449-9_33","volume-title":"Biometric Recognition","author":"Y Yin","year":"2011","unstructured":"Yin Y, Liu L, Sun X (2011) Sdumla-hmt: A multimodal biometric database. In: Sun Z, Lai J, Chen X, Tan T (eds) Biometric Recognition. Springer, Berlin Heidelberg, Berlin, Heidelberg, pp 260\u2013268"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06630-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-021-06630-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-021-06630-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T06:39:11Z","timestamp":1645684751000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-021-06630-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,3]]},"references-count":23,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["6630"],"URL":"https:\/\/doi.org\/10.1007\/s00521-021-06630-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2021,11,3]]},"assertion":[{"value":"13 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 November 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}