{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:46:12Z","timestamp":1777567572920,"version":"3.51.4"},"reference-count":70,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Future Generation Computer Systems"],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1016\/j.future.2019.04.013","type":"journal-article","created":{"date-parts":[[2019,4,9]],"date-time":"2019-04-09T13:11:50Z","timestamp":1554815510000},"page":"41-53","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":52,"special_numbering":"C","title":["Boosting palmprint identification with gender information using DeepNet"],"prefix":"10.1016","volume":"99","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4507-5693","authenticated-orcid":false,"given":"Tingting","family":"Chai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shitala","family":"Prasad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenghui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"10","key":"10.1016\/j.future.2019.04.013_b1","doi-asserted-by":"crossref","first-page":"1671","DOI":"10.1109\/LSP.2015.2420092","article-title":"Deep neural network approaches to speaker and language recognition","volume":"22","author":"Richardson","year":"2015","journal-title":"IEEE Signal Proc. Lett."},{"key":"10.1016\/j.future.2019.04.013_b2","series-title":"Proceedings of the British Machine Vision Conference (BMVC)","first-page":"41.1","article-title":"Deep face recognition","author":"Parkhi","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b3","doi-asserted-by":"crossref","first-page":"1711","DOI":"10.1016\/j.neucom.2017.10.027","article-title":"Fast extract fingerprint indexing based on compact binary minutia cylinder codes","volume":"275","author":"Bai","year":"2018","journal-title":"Neurocomputing"},{"key":"10.1016\/j.future.2019.04.013_b4","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.neucom.2016.10.048","article-title":"Bin-based classifier fusion of iris and face biometrics","volume":"224","author":"Miao","year":"2017","journal-title":"Neurocomputing"},{"key":"10.1016\/j.future.2019.04.013_b5","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.neucom.2016.08.048","article-title":"Low-rank representation integrated with principal line distance for contactless palmprint recognition","volume":"218","author":"Fei","year":"2016","journal-title":"Neurocomputing"},{"key":"10.1016\/j.future.2019.04.013_b6","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.neucom.2017.12.040","article-title":"Investigating the use of motion-based features from optical flow for gait recognition","volume":"283","author":"Mahfouf","year":"2018","journal-title":"Neurocomputing"},{"key":"10.1016\/j.future.2019.04.013_b7","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.neucom.2016.05.005","article-title":"Multi-spectral palmprint recognition based on oriented multiscale log-gabor filters","volume":"205","author":"Bounneche","year":"2016","journal-title":"Neurocomputing"},{"issue":"3","key":"10.1016\/j.future.2019.04.013_b8","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1109\/TIFS.2015.2503265","article-title":"Suspecting less and doing better: new insights on palmprint identification for faster and more accurate matching","volume":"11","author":"Zheng","year":"2016","journal-title":"IEEE Trans. Inf. Foren. Sec."},{"key":"10.1016\/j.future.2019.04.013_b9","series-title":"Int. Conf. Pattern Recogn. (ICPR)","first-page":"4232","article-title":"Palmprint recognition via discriminative index learning","author":"Svoboda","year":"2017"},{"issue":"9","key":"10.1016\/j.future.2019.04.013_b10","doi-asserted-by":"crossref","first-page":"4483","DOI":"10.1109\/TIP.2017.2705424","article-title":"Palmprint recognition based on complete direction representation","volume":"26","author":"Jia","year":"2017","journal-title":"IEEE Trans. Image Process."},{"issue":"99","key":"10.1016\/j.future.2019.04.013_b11","first-page":"1","article-title":"Feature extraction methods for palmprint recognition: a survey and evalutation","volume":"PP","author":"Fei","year":"2018","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"10.1016\/j.future.2019.04.013_b12","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.patcog.2017.04.016","article-title":"Towards contactless palmprint recognition: A novel deviceand a collaborative representation based identifcation approach","volume":"69","author":"Zhang","year":"2017","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.future.2019.04.013_b13","series-title":"Encyclopedia of Biometrics","article-title":"Gender classification","author":"Guo","year":"2014"},{"issue":"2","key":"10.1016\/j.future.2019.04.013_b14","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1109\/TPAMI.2017.2669035","article-title":"Demographic analysis from biometric data: achievements","volume":"40","author":"Sun","year":"2018","journal-title":"challenges, and new frontiers, IEEE Trans. Pattern Anal. Machine Intell"},{"issue":"1\u20133","key":"10.1016\/j.future.2019.04.013_b15","article-title":"Sexual and topological differences in palmprint and ridge density in the caucasian spanish population","volume":"229","author":"Gutierrez-Redomero","year":"2013","journal-title":"Forensic Sci. Int."},{"issue":"3","key":"10.1016\/j.future.2019.04.013_b16","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1109\/TIFS.2016.2632070","article-title":"Gender estimation based on smile-dynamics","volume":"12","author":"Dantcheva","year":"2017","journal-title":"IEEE Trans. Inf. Foren. Sec."},{"key":"10.1016\/j.future.2019.04.013_b17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cviu.2018.01.007","article-title":"Biometric recognition by gait: A survey of modalities and features","volume":"167","author":"Connor","year":"2018","journal-title":"Comput. Vis. Image Und."},{"issue":"4","key":"10.1016\/j.future.2019.04.013_b18","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1049\/iet-cvi.2017.0475","article-title":"Palmprint gender classification by convolutional neural network","volume":"12","author":"Xie","year":"2018","journal-title":"IET Comput. Vis."},{"key":"10.1016\/j.future.2019.04.013_b19","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.patcog.2016.06.025","article-title":"Palmprint recognition with local micro-structure tetra pattern","volume":"61","author":"Li","year":"2017","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.future.2019.04.013_b20","series-title":"IEEE Conf. Comput. Vis. and Pattern Recogn.(CVPR)","first-page":"6917","article-title":"End-to-end weakly-supervised semanic alignment","author":"Rocco","year":"2018"},{"issue":"6","key":"10.1016\/j.future.2019.04.013_b21","doi-asserted-by":"crossref","first-page":"1206","DOI":"10.1109\/TIFS.2016.2520880","article-title":"Fingerprint liveness detection using convolutional neural networks","volume":"11","author":"Nogueira","year":"2016","journal-title":"IEEE Trans. Inf. Foren. Sec."},{"issue":"8","key":"10.1016\/j.future.2019.04.013_b22","doi-asserted-by":"crossref","first-page":"1845","DOI":"10.1109\/TPAMI.2017.2738644","article-title":"Faceness-net: face detection through deep facial part responses","volume":"40","author":"Yang","year":"2018","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.future.2019.04.013_b23","series-title":"IEEE Conf. Comput. Vis. and Pattern Recogn.(CVPR)","first-page":"1701","article-title":"Deepface: closing the gap to human-level performance in face verification","author":"Taigman","year":"2014"},{"key":"10.1016\/j.future.2019.04.013_b24","series-title":"Biometric Security and Privacy","article-title":"Improving biometrics identification performance using pcanet deep learning and multispectral palmprint","author":"Meraoumia","year":"2017"},{"key":"10.1016\/j.future.2019.04.013_b25","series-title":"IEEE Conf. Comput. Vis. and Pattern Recogn.(CVPR)","first-page":"279","article-title":"Ordinal palmprint represention for personal identification","author":"Sun","year":"2005"},{"key":"10.1016\/j.future.2019.04.013_b26","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.patcog.2017.04.016","article-title":"Towards contactless palmprint recognition: a novel device, a new benchmark, and a collaborative representation based identification approach","volume":"69","author":"Zhang","year":"2017","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.future.2019.04.013_b27","unstructured":"IIT Delhi Palmprint Image Database version1.0, http:\/\/www4.comp.polyu.edu.\/csajaykr\/IITD\/Database_Palm.htm."},{"key":"10.1016\/j.future.2019.04.013_b28","unstructured":"GPDS 100 Contactless hands 2 Band database, http:\/\/www.gpds.ulpgc.es."},{"key":"10.1016\/j.future.2019.04.013_b29","unstructured":"CASIA Palmprint Image Database, http:\/\/www.cbsr.ia.ac.cn\/english\/Databases.asp."},{"key":"10.1016\/j.future.2019.04.013_b30","unstructured":"The Hong Kong Polytechnic University Multispectral Palmprint Database (HKPU Multispectral), https:\/\/www4.comp.polyu.edu.hk\/biometrics\/MultispectralPalmprint\/MSP.htm."},{"key":"10.1016\/j.future.2019.04.013_b31","unstructured":"The Hong Kong Polytechnic University Palmprint Database (HKPU), http:\/\/www4.comp.polyu.edu.hk\/biometrics\/."},{"key":"10.1016\/j.future.2019.04.013_b32","series-title":"Int. Conf. Pattern Recognit.(ICPR)","first-page":"520","article-title":"Competitive coding scheme for palmprint verification","author":"Kong","year":"2004"},{"key":"10.1016\/j.future.2019.04.013_b33","unstructured":"KTU CVPR Lab. Contactless Palmprint database, http:\/\/ceng2.ktu.edu.tr\/cvpr\/contactlessPalmDB.htm."},{"key":"10.1016\/j.future.2019.04.013_b34","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.patcog.2015.08.001","article-title":"Double-orientation code and nonlinear matching scheme for palmprint recognition","volume":"49","author":"Fei","year":"2016","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.future.2019.04.013_b35","first-page":"1","article-title":"Gender classification based on geometry features of palm image","volume":"2014","author":"Wu","year":"2014","journal-title":"The Scientific World Journal"},{"key":"10.1016\/j.future.2019.04.013_b36","series-title":"Proc. Adv. Neural Inf. Process. Syst. Curran Associates","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"Krizhevsky","year":"2012"},{"key":"10.1016\/j.future.2019.04.013_b37","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.(CVPR)","first-page":"1","article-title":"Going deeper with convolutions","author":"Szegedy","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b38","series-title":"Int. Conf. Learn. Represent.(ICLR)","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b39","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.(CVPR)","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.future.2019.04.013_b40","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.patrec.2015.11.011","article-title":"Minimalistic cnn-based ensemble model for gender prediction from face images","volume":"70","author":"Antipov","year":"2016","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.future.2019.04.013_b41","series-title":"Advances in Face Detection and Facial Image Analysis","article-title":"Labeled faces in the wild: a survey","author":"Learned-Miller","year":"2016"},{"key":"10.1016\/j.future.2019.04.013_b42","unstructured":"D. Yi, Z. Lei, S.Z. Li, Learning face representation from scratch, arXivDOI: arXiv:org\/abs\/1411.7923."},{"key":"10.1016\/j.future.2019.04.013_b43","series-title":"Proc.IEEE Conf. Comput. Vis. Pattern Recognit. Workshops(CVPRW)","first-page":"34","article-title":"Age and gender classification using convolutional neural networks","author":"Levi","year":"2015"},{"issue":"12","key":"10.1016\/j.future.2019.04.013_b44","doi-asserted-by":"crossref","first-page":"2170","DOI":"10.1109\/TIFS.2014.2359646","article-title":"Age and gender estimation of unfiltered faces","volume":"9","author":"Eidinger","year":"2014","journal-title":"IEEE Trans. Inf. Foren. Sec."},{"key":"10.1016\/j.future.2019.04.013_b45","series-title":"IEEE Conf. Comput. Vis. Pattern Recognit.(CVPR)","first-page":"248","article-title":"Imagenet: A large-scale hierarchical image database","author":"Deng","year":"2009"},{"issue":"2","key":"10.1016\/j.future.2019.04.013_b46","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1109\/TIFS.2018.2850320","article-title":"Convolutional neural network for finger-vein-based biometric identification","volume":"14","author":"Das","year":"2019","journal-title":"IEEE Trans. Inf. Foren. Sec."},{"key":"10.1016\/j.future.2019.04.013_b47","series-title":"Proc. Intl. Conf. Human-Agent Interaction","first-page":"209","article-title":"Deformation invariant and contactless palmprint recognition using convolutional neural network","author":"Jalali","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b48","unstructured":"The Hong Kong Polytechnic University Hyperspectral Palmprint Database (HKPU Hyperspectral), http:\/\/www4.comp.polyu.edu.hk\/biometrics\/HyperspectralPalmprint\/HSP.htm."},{"key":"10.1016\/j.future.2019.04.013_b49","series-title":"Intl. Workshop on Deep Learning for Pattern Recognit.(DLPR)","first-page":"1","article-title":"Identifying humans by matching their left palmprint with right palmprint images using convolutional neural network","author":"Kumar","year":"2016"},{"key":"10.1016\/j.future.2019.04.013_b50","series-title":"IEEE Symposium on Circuits and Systems (ISCAS)","first-page":"1","article-title":"Palmprint recognition using deep scattering network","author":"Minaee","year":"2017"},{"issue":"4","key":"10.1016\/j.future.2019.04.013_b51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/sym10040078","article-title":"Palmprint and palmvein recognition based on dcnn and a new large-scale contactless palmvein dataset","volume":"10","author":"Zhang","year":"2018","journal-title":"Symmetry"},{"key":"10.1016\/j.future.2019.04.013_b52","series-title":"Proc. SPIE 5404, Biometric Technology for Human Identification","first-page":"561","article-title":"Can soft biometric traits assist user recognition?","author":"Jain","year":"2004"},{"key":"10.1016\/j.future.2019.04.013_b53","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.neunet.2014.09.003","article-title":"Deep learning in neural networks: An overview","volume":"61","author":"Schmidhuber","year":"2015","journal-title":"Neural Netw."},{"issue":"9","key":"10.1016\/j.future.2019.04.013_b54","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.1109\/TPAMI.2003.1227981","article-title":"Online palmprint identification","volume":"25","author":"Zhang","year":"2003","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"10.1016\/j.future.2019.04.013_b55","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1504\/IJBM.2018.093635","article-title":"Towards contactless palm region extraction in complex environment","volume":"10","author":"Chai","year":"2018","journal-title":"Int. J. Biometrics"},{"key":"10.1016\/j.future.2019.04.013_b56","series-title":"Int. Conf. Machine Learning Workshop on Deep Learning for Audio, Speech and Language Processing, Vol. 28","first-page":"1","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"Mass","year":"2013"},{"key":"10.1016\/j.future.2019.04.013_b57","series-title":"International Conference on Learning Representations","article-title":"Fast and accurate deep network learning by exponential linear units(elus)","author":"Clevert","year":"2016"},{"issue":"2","key":"10.1016\/j.future.2019.04.013_b58","first-page":"1","article-title":"Alcoholism detection by data augmentation and convolutional neural network with stochastic pooling","volume":"42","author":"Wang","year":"2018","journal-title":"J. Med. Sys."},{"issue":"17","key":"10.1016\/j.future.2019.04.013_b59","doi-asserted-by":"crossref","first-page":"22821","DOI":"10.1007\/s11042-018-5765-3","article-title":"Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on gpu platform","volume":"77","author":"Zhang","year":"2018","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.future.2019.04.013_b60","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.jocs.2018.05.005","article-title":"Abnormal breast identification by nine-layer convolutional neural network with parametric rectified linear unit and rank-based stochastic pooling","volume":"27","author":"Zhang","year":"2018","journal-title":"J. Comput. Sci."},{"key":"10.1016\/j.future.2019.04.013_b61","series-title":"Neural Information Processing","first-page":"46","article-title":"Max-pooling dropout for regularization of convolutional neural networks","author":"Wu","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b62","series-title":"Int. Conf. Machine Learning(ICML)","first-page":"448","article-title":"Batch normalization: accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b63","series-title":"International Conference for Learning Representations(ICLR)","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b64","series-title":"IEEE Conf. Comput. Vis. Pattern Recognit. Workshops(CVPRW)","first-page":"739","article-title":"Gender and smile classification using deep convolutional neural networks","author":"Zhang","year":"2016"},{"key":"10.1016\/j.future.2019.04.013_b65","series-title":"IEEE Conf. Comput. Vis. Pattern Recognit.(CVPR)","first-page":"39","article-title":"Convolutional neural network architecture for geometric matching","author":"Rocco","year":"2017"},{"key":"10.1016\/j.future.2019.04.013_b66","series-title":"Int. Conf. Multimedia(ACMM)","first-page":"689","article-title":"Matconvnet-convolutional neural networks for matlab","author":"Vedaldi","year":"2015"},{"key":"10.1016\/j.future.2019.04.013_b67","unstructured":"The Hong Kong Polytechnic University Contact-free 3D\/2D Hand Images Database version 1.0, http:\/\/www4.comp.polyu.edu.hk\/csajaykr\/myhome\/database_request\/3dhand\/Hand3D.htm."},{"issue":"6","key":"10.1016\/j.future.2019.04.013_b68","doi-asserted-by":"crossref","first-page":"1272","DOI":"10.1109\/TPAMI.2015.2509968","article-title":"A 3D feature descriptor recovered from a single 2d palmprint image","volume":"38","author":"Zheng","year":"2016","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"10.1016\/j.future.2019.04.013_b69","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/s18051575","article-title":"An effective palmprint recognition approach for visible and multispectral sensor images","volume":"18","author":"Gumaei","year":"2018","journal-title":"Sensors"},{"issue":"6","key":"10.1016\/j.future.2019.04.013_b70","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1049\/iet-cvi.2010.0191","article-title":"Towards contactless palmprint authentication","volume":"5","author":"Morales","year":"2011","journal-title":"IET Comput. Vis."}],"container-title":["Future Generation Computer Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X18331261?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X18331261?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T04:03:50Z","timestamp":1759118630000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167739X18331261"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":70,"alternative-id":["S0167739X18331261"],"URL":"https:\/\/doi.org\/10.1016\/j.future.2019.04.013","relation":{},"ISSN":["0167-739X"],"issn-type":[{"value":"0167-739X","type":"print"}],"subject":[],"published":{"date-parts":[[2019,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Boosting palmprint identification with gender information using DeepNet","name":"articletitle","label":"Article Title"},{"value":"Future Generation Computer Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.future.2019.04.013","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}