{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T16:39:10Z","timestamp":1772642350637,"version":"3.50.1"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T00:00:00Z","timestamp":1582070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s00521-020-04782-1","type":"journal-article","created":{"date-parts":[[2020,2,19]],"date-time":"2020-02-19T14:03:17Z","timestamp":1582120997000},"page":"17941-17955","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["A comprehensive investigation into sclera biometrics: a novel dataset and performance study"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9824-2136","authenticated-orcid":false,"given":"Matej","family":"Vitek","sequence":"first","affiliation":[]},{"given":"Peter","family":"Rot","sequence":"additional","affiliation":[]},{"given":"Vitomir","family":"\u0160truc","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Peer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,19]]},"reference":[{"issue":"4","key":"4782_CR1","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1049\/iet-bmt.2016.0114","volume":"6","author":"S Alkassar","year":"2016","unstructured":"Alkassar S, Woo WL, Dlay S, Chambers J (2016) Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions. IET Biometr 6(4):266\u2013275","journal-title":"IET Biometr"},{"issue":"3","key":"4782_CR2","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1109\/TSMC.2015.2505649","volume":"47","author":"S Alkassar","year":"2017","unstructured":"Alkassar S, Woo WL, Dlay SS, Chambers JA (2017) Robust sclera recognition system with novel sclera segmentation and validation techniques. IEEE Trans Syst Man Cybern Syst (TSMC) 47(3):474\u2013486","journal-title":"IEEE Trans Syst Man Cybern Syst (TSMC)"},{"key":"4782_CR3","doi-asserted-by":"crossref","unstructured":"Bay H, Tuytelaars T, Van Gool L (2006) SURF: speeded up robust features. In: European conference on computer vision. Springer, pp 404\u2013417","DOI":"10.1007\/11744023_32"},{"key":"4782_CR4","unstructured":"Bowyer KW, Flynn PJ The ND-IRIS-0405 iris image dataset. Technical report, Notre Dame University"},{"key":"4782_CR5","doi-asserted-by":"crossref","unstructured":"Calonder M, Lepetit V, Strecha C, Fua P (2010) Brief: binary robust independent elementary features. In: European conference on computer vision. Springer, pp 778\u2013792","DOI":"10.1007\/978-3-642-15561-1_56"},{"key":"4782_CR6","doi-asserted-by":"crossref","unstructured":"Crihalmeanu S, Ross A (2011) On the use of multispectral conjunctival vasculature as a soft biometric. In: 2011 IEEE workshop on applications of computer vision (WACV), pp 204\u2013211","DOI":"10.1109\/WACV.2011.5711504"},{"key":"4782_CR7","doi-asserted-by":"crossref","unstructured":"Das A, Pal U, Ballester MAF, Blumenstein M (2014) A new efficient and adaptive sclera recognition system. In: 2014 IEEE symposium on computational intelligence in biometrics and identity management (CIBIM). IEEE, pp 1\u20138","DOI":"10.1109\/CIBIM.2014.7015436"},{"key":"4782_CR8","doi-asserted-by":"crossref","unstructured":"Das A, Pal U, Ferrer Ballester MA, Blumenstein M (2013) Sclera recognition using dense-sift. In: 2013 13th international conference on intelligent systems design and applications (ISDA). IEEE, pp 74\u201379","DOI":"10.1109\/ISDA.2013.6920711"},{"key":"4782_CR9","doi-asserted-by":"crossref","unstructured":"Das A, Pal U, Ferrer Ballester MA, Blumenstein M (2014) Fuzzy logic based selera recognition. In: 2014 IEEE international conference on fuzzy systems, pp 561\u2013568","DOI":"10.1109\/FUZZ-IEEE.2014.6891684"},{"key":"4782_CR10","doi-asserted-by":"crossref","unstructured":"Das A, Pal U, Ferrer MA, Blumenstein M, \u0160tepec D, Rot P, Emer\u0161i\u010d \u017d, Peer P, \u0160truc V, Kumar SA et\u00a0al (2017) SSERBC 2017: sclera segmentation and eye recognition benchmarking competition. In: international joint conference on biometrics (IJCB), pp 742\u2013747","DOI":"10.1109\/BTAS.2017.8272764"},{"key":"4782_CR11","doi-asserted-by":"crossref","unstructured":"Das A, Pal U, Ferrer MA, Blumenstein M, \u0160tepec D, Rot P, Peer P, \u0160truc V (2018) SSBC 2018: sclera segmentation benchmarking competition. In: International conference on biometrics (ICB), pp 303\u2013308","DOI":"10.1109\/ICB2018.2018.00053"},{"issue":"11","key":"4782_CR12","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.1109\/34.244676","volume":"15","author":"J Daugman","year":"1993","unstructured":"Daugman J (1993) High confidence visual recognition of persons by a test of statistical independence. IEEE Trans Pattern Anal Mach Intell 15(11):1148\u20131161","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4782_CR13","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.patrec.2015.02.009","volume":"57","author":"M De Marsico","year":"2015","unstructured":"De Marsico M, Nappi M, Riccio D, Wechsler H (2015) Mobile iris challenge evaluation (MICHE)-I, biometric iris dataset and protocols. Pattern Recognit Lett 57:17\u201323","journal-title":"Pattern Recognit Lett"},{"key":"4782_CR14","doi-asserted-by":"crossref","unstructured":"Derakhshani R, Ross A (2007) A texture-based neural network classifier for biometric identification using ocular surface vasculature. In: International joint conference on neural networks 2007 (IJCNN 2007). IEEE, pp 2982\u20132987","DOI":"10.1109\/IJCNN.2007.4371435"},{"key":"4782_CR15","unstructured":"Derakhshani R, Ross A, Crihalmeanu S (2006) A new biometric modality based on conjunctival vasculature. In: Artificial neural networks in engineering (ANNIE), pp 1\u20138"},{"issue":"9","key":"4782_CR16","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1078\/0030-4026-00388","volume":"115","author":"M Dobe\u0161","year":"2004","unstructured":"Dobe\u0161 M, Machala L, Tichavsk\u1ef3 P, Posp\u00ed\u0161il J (2004) Human eye iris recognition using the mutual information. Optik 115(9):399\u2013404","journal-title":"Optik"},{"key":"4782_CR17","doi-asserted-by":"crossref","unstructured":"Gangwar A, Joshi A (2016) DeepIrisNet: deep iris representation with applications in iris recognition and cross-sensor iris recognition. In: 2016 IEEE international conference on image processing (ICIP), pp 2301\u20132305","DOI":"10.1109\/ICIP.2016.7532769"},{"issue":"1","key":"4782_CR18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1049\/iet-bmt.2014.0059","volume":"5","author":"V Gottemukkula","year":"2016","unstructured":"Gottemukkula V, Saripalle S, Tankasala SP, Derakhshani R (2016) Method for using visible ocular vasculature for mobile biometrics. IET Biometr 5(1):3\u201312","journal-title":"IET Biometr"},{"key":"4782_CR19","doi-asserted-by":"crossref","unstructured":"Gottemukkula V, Saripalle SK, Tankasala SP, Derakhshani R, Pasula R, Ross A (2012) Fusing iris and conjunctival vasculature: ocular biometrics in the visible spectrum. In: 2012 IEEE conference on technologies for homeland security (HST), pp 150\u2013155","DOI":"10.1109\/THS.2012.6459841"},{"issue":"4","key":"4782_CR20","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1109\/TIM.2009.2037996","volume":"59","author":"MS Hosseini","year":"2010","unstructured":"Hosseini MS, Araabi BN, Soltanian-Zadeh H (2010) Pigment melanin: pattern for iris recognition. IEEE Trans Instrum Meas (TIM) 59(4):792\u2013804","journal-title":"IEEE Trans Instrum Meas (TIM)"},{"issue":"4","key":"4782_CR21","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1109\/TIM.2009.2037996","volume":"59","author":"MS Hosseini","year":"2010","unstructured":"Hosseini MS, Araabi BN, Soltanian-Zadeh H (2010) Pigment melanin: pattern for iris recognition. IEEE Trans Instrum Meas 59(4):792\u2013804","journal-title":"IEEE Trans Instrum Meas"},{"issue":"3","key":"4782_CR22","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1016\/j.patcog.2009.08.016","volume":"43","author":"A Kumar","year":"2010","unstructured":"Kumar A, Passi A (2010) Comparison and combination of iris matchers for reliable personal authentication. Pattern Recognit 43(3):1016\u20131026","journal-title":"Pattern Recognit"},{"key":"4782_CR23","doi-asserted-by":"crossref","unstructured":"Lin G, Milan A, Shen C, Reid I (2017) RefineNet: multi-path refinement networks for high-resolution semantic segmentation. In: IEEE conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2017.549"},{"issue":"2","key":"4782_CR24","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1109\/TIFS.2013.2291314","volume":"9","author":"Y Lin","year":"2014","unstructured":"Lin Y, Du EY, Zhou Z, Thomas NL (2014) An efficient parallel approach for sclera vein recognition. IEEE Trans Inf Forensics Secur 9(2):147\u2013157","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"4782_CR25","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.patrec.2015.09.016","volume":"82","author":"N Liu","year":"2016","unstructured":"Liu N, Zhang M, Li H, Sun Z, Tan T (2016) DeepIris: learning pairwise filter bank for heterogeneous iris verification. Pattern Recognit Lett 82:154\u2013161","journal-title":"Pattern Recognit Lett"},{"key":"4782_CR26","unstructured":"Liu X, Bowyer KW, Flynn PJ (2005) Experiments with an improved iris segmentation algorithm. Fourth IEEE workshop on automatic identification advanced technologies (AIAT) (AutoID\u201905), pp 118\u2013123"},{"key":"4782_CR27","first-page":"1150","volume":"2","author":"DG Lowe","year":"1999","unstructured":"Lowe DG (1999) Object recognition from local scale-invariant features. Int J Comput Vis 2:1150\u20131157","journal-title":"Int J Comput Vis"},{"key":"4782_CR28","doi-asserted-by":"crossref","unstructured":"Lucio DR, Laroca R, Severo E, Britto Jr AS, Menotti D (2018) Fully convolutional networks and generative adversarial networks applied to sclera segmentation. In: IEEE international conference on biometrics: theory, applications, and systems","DOI":"10.1109\/BTAS.2018.8698597"},{"issue":"6","key":"4782_CR29","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1109\/TIP.2004.827237","volume":"13","author":"L Ma","year":"2004","unstructured":"Ma L, Tan T, Wang Y, Zhang D (2004) Efficient iris recognition by characterizing key local variations. IEEE Trans Image Process 13(6):739\u2013750","journal-title":"IEEE Trans Image Process"},{"key":"4782_CR30","first-page":"01","volume":"9","author":"M Mahlouji","year":"2012","unstructured":"Mahlouji M, Noruzi A (2012) Human iris segmentation for iris recognition in unconstrained environments. Int J Comput Sci Issues 9:01","journal-title":"Int J Comput Sci Issues"},{"issue":"4","key":"4782_CR31","doi-asserted-by":"publisher","first-page":"864","DOI":"10.1109\/TIFS.2015.2398817","volume":"10","author":"D Menotti","year":"2015","unstructured":"Menotti D, Chiachia G, Pinto A, Schwartz WR, Pedrini H, Falc\u00e3o AX, Rocha A (2015) Deep representations for iris, face, and fingerprint spoofing detection. IEEE Trans Inf Forensics Security (TIFS) 10(4):864\u2013879","journal-title":"IEEE Trans Inf Forensics Security (TIFS)"},{"issue":"10","key":"4782_CR32","doi-asserted-by":"publisher","first-page":"1741","DOI":"10.1109\/TPAMI.2007.70833","volume":"30","author":"K Miyazawa","year":"2008","unstructured":"Miyazawa K, Ito K, Aoki T, Kobayashi K, Nakajima H (2008) An effective approach for iris recognition using phase-based image matching. IEEE Trans Pattern Anal Mach Intell 30(10):1741\u20131756","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"4782_CR33","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1109\/TPAMI.2007.1002","volume":"29","author":"DM Monro","year":"2007","unstructured":"Monro DM, Rakshit S, Zhang D (2007) DCT-based iris recognition. IEEE Trans Pattern Anal Mach Intell 29(4):586\u2013595","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4782_CR34","doi-asserted-by":"publisher","first-page":"18848","DOI":"10.1109\/ACCESS.2017.2784352","volume":"6","author":"K Nguyen","year":"2018","unstructured":"Nguyen K, Fookes C, Ross A, Sridharan S (2018) Iris recognition with off-the-shelf CNN features: a deep learning perspective. IEEE Access 6:18848\u201318855","journal-title":"IEEE Access"},{"key":"4782_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.inffus.2015.03.005","volume":"26","author":"I Nigam","year":"2015","unstructured":"Nigam I, Vatsa M, Singh R (2015) Ocular biometrics: a survey of modalities and fusion approaches. Inf Fusion 26:1\u201335","journal-title":"Inf Fusion"},{"key":"4782_CR36","doi-asserted-by":"crossref","unstructured":"Oh K, Toh KA (2012) Extracting sclera features for cancelable identity verification. In: 2012 5th IAPR international conference on biometrics (ICB). IEEE, pp 245\u2013250","DOI":"10.1109\/ICB.2012.6199815"},{"issue":"3\u20134","key":"4782_CR37","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1504\/IJBM.2013.055971","volume":"5","author":"CN Padole","year":"2013","unstructured":"Padole CN, Proen\u00e7a H (2013) Compensating for pose and illumination in unconstrained periocular biometrics. Int J Biometr 5(3\u20134):336\u2013359","journal-title":"Int J Biometr"},{"key":"4782_CR38","doi-asserted-by":"crossref","unstructured":"Padole CN, Proen\u00e7a H (2012) Periocular recognition: analysis of performance degradation factors. In: 2012 5th IAPR international conference on biometrics (ICB). IEEE, pp 439\u2013445","DOI":"10.1109\/ICB.2012.6199790"},{"issue":"1","key":"4782_CR39","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/TIFS.2010.2096810","volume":"6","author":"U Park","year":"2011","unstructured":"Park U, Jillela RR, Ross A, Jain AK (2011) Periocular biometrics in the visible spectrum. IEEE Trans Inf Forensics Secur 6(1):96\u2013106","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"1","key":"4782_CR40","first-page":"24","volume":"6","author":"V Patil","year":"2017","unstructured":"Patil V, Patil AM (2017) Human identification method: sclera recognition. Int J Comput Sci Netw 6(1):24\u201329","journal-title":"Int J Comput Sci Netw"},{"key":"4782_CR41","doi-asserted-by":"crossref","unstructured":"Phillips PJ, Boyer KW, Flynn PJ, O\u2019Toole AJ, Phillips PJ, Schott CL, Scruggs WT, Sharpe M (2007) FRVT 2006 and ICE 2006 large-scale results","DOI":"10.6028\/NIST.IR.7408"},{"key":"4782_CR42","doi-asserted-by":"crossref","unstructured":"Proen\u00e7a H, Alexandre L (2005) UBIRIS: a noisy iris image database. In: international conference on image analysis and processing (ICIAP). Springer, pp 970\u2013977","DOI":"10.1007\/11553595_119"},{"issue":"8","key":"4782_CR43","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1109\/TPAMI.2009.66","volume":"32","author":"H Proen\u00e7a","year":"2010","unstructured":"Proen\u00e7a H, Filipe S, Santos R, Oliveira J, Alexandre LA (2010) The UBIRIS.v2: a database of visible wavelength iris images captured on-the-move and at-a-distance. IEEE Trans Pattern Anal Mach Intell 32(8):1529\u20131535","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4782_CR44","doi-asserted-by":"crossref","unstructured":"Radu P, Ferryman J, Wild P (2015) A robust sclera segmentation algorithm. In: International conference on biometrics: theory, applications, and systems (BTAS), pp 1\u20136","DOI":"10.1109\/BTAS.2015.7358746"},{"key":"4782_CR45","unstructured":"Riccio D, Brancati N, Frucci M, Gragnaniello D (2017) An unsupervised approach for eye sclera segmentation. In: Iberoamerican congress on pattern recognition (CIARP). Springer, pp 550\u2013557"},{"key":"4782_CR46","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox T (2015) U-Net: convolutional networks for biomedical image segmentation. In: Medical image computing and computer-assisted intervention (MICCAI): 18th international conference, proceedings, part III. Springer, Cham, pp 234\u2013241","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"4782_CR47","doi-asserted-by":"crossref","unstructured":"Rosten E, Drummond T (2006) Machine learning for high-speed corner detection. In: European conference on computer vision. Springer, pp 430\u2013443","DOI":"10.1007\/11744023_34"},{"key":"4782_CR48","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/978-3-030-27731-4_13","volume-title":"Handbook of vascular biometrics","author":"P Rot","year":"2020","unstructured":"Rot P, Vitek M, Grm K, Emer\u0161i\u010d \u017d, Peer P, \u0160truc V (2020) Deep sclera segmentation and recognition. In: Uhl A, Busch C, Marcel S, Veldhuis R (eds) Handbook of vascular biometrics. Springer, Berlin, pp 395\u2013432"},{"key":"4782_CR49","doi-asserted-by":"crossref","unstructured":"Rot P, \u0160truc V, Peer P (2018) Deep multi-class eye segmentation for ocular biometrics. In: IEEE international work conference on bioinspired intelligence (IWOBI)","DOI":"10.1109\/IWOBI.2018.8464133"},{"key":"4782_CR50","doi-asserted-by":"crossref","unstructured":"Rublee E, Rabaud V, Konolige K, Bradski G (2011) ORB: an efficient alternative to SIFT or SURF","DOI":"10.1109\/ICCV.2011.6126544"},{"issue":"4","key":"4782_CR51","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TIFS.2009.2033225","volume":"4","author":"S Shah","year":"2009","unstructured":"Shah S, Ross A (2009) Iris segmentation using geodesic active contours. IEEE Trans Inf Forensics Secur 4(4):824\u2013836","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"4782_CR52","doi-asserted-by":"crossref","unstructured":"Sharma A, Verma S, Vatsa M, Singh R (2014) On cross spectral periocular recognition. In: 2014 IEEE international conference on image processing (ICIP). IEEE, pp 5007\u20135011","DOI":"10.1109\/ICIP.2014.7026014"},{"issue":"12","key":"4782_CR53","doi-asserted-by":"publisher","first-page":"2211","DOI":"10.1109\/TPAMI.2008.240","volume":"31","author":"Z Sun","year":"2009","unstructured":"Sun Z, Tan T (2009) Ordinal measures for iris recognition. IEEE Trans Pattern Anal Mach Intell 31(12):2211\u20132226","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"4782_CR54","doi-asserted-by":"publisher","first-page":"1120","DOI":"10.1109\/TPAMI.2013.234","volume":"36","author":"Z Sun","year":"2014","unstructured":"Sun Z, Zhang H, Tan T, Wang J (2014) Iris image classification based on hierarchical visual codebook. IEEE Trans Pattern Anal Mach Intell 36(6):1120\u20131133","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4782_CR55","doi-asserted-by":"crossref","unstructured":"Tankasala SP, Doynov P, Derakhshani RR, Ross A, Crihalmeanu S (2011) Biometric recognition of conjunctival vasculature using GLCM features. In: 2011 international conference on image information processing (ICIIP), pp 1\u20136","DOI":"10.1109\/ICIIP.2011.6108974"},{"key":"4782_CR56","doi-asserted-by":"crossref","unstructured":"Thomas NL, Du Y, Zhou Z (2010) A new approach for sclera vein recognition. In: Mobile multimedia\/image processing, security, and applications 2010, vol 7708. International Society for Optics and Photonics, p 770805","DOI":"10.1117\/12.849706"},{"key":"4782_CR57","doi-asserted-by":"crossref","unstructured":"Whitelam C, Jafri Z, Bourlai T (2010) Multispectral eye detection: a preliminary study. In: 2010 20th international conference on pattern recognition. IEEE, pp 209\u2013212","DOI":"10.1109\/ICPR.2010.60"},{"key":"4782_CR58","doi-asserted-by":"crossref","unstructured":"Yuan X, Shi P (2004) An iris segmentation procedure for iris recognition. In: Advances in biometric person authentication. Springer, pp 546\u2013553","DOI":"10.1007\/978-3-540-30548-4_62"},{"key":"4782_CR59","doi-asserted-by":"crossref","unstructured":"Zhou Z, Du EY, Thomas NL, Delp EJ (2011) Multi-angle sclera recognition system. In: 2011 IEEE workshop on computational intelligence in biometrics and identity management (CIBIM). IEEE, pp 103\u2013108","DOI":"10.1109\/CIBIM.2011.5949225"},{"issue":"3","key":"4782_CR60","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1109\/TSMCA.2011.2170416","volume":"42","author":"Z Zhou","year":"2012","unstructured":"Zhou Z, Du EY, Thomas NL, Delp EJ (2012) A new human identification method: sclera recognition. IEEE Trans Syst Man Cybern Part A Syst Hum 42(3):571\u2013583","journal-title":"IEEE Trans Syst Man Cybern Part A Syst Hum"},{"issue":"4","key":"4782_CR61","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1007\/s11760-013-0468-8","volume":"7","author":"Z Zhou","year":"2013","unstructured":"Zhou Z, Du EY, Thomas NL, Delp EJ (2013) A comprehensive multimodal eye recognition. SIViP 7(4):619\u2013631","journal-title":"SIViP"},{"key":"4782_CR62","first-page":"04","volume":"7708","author":"Z Zhou","year":"2010","unstructured":"Zhou Z, Du Y, Thomas N, Delp EJ III (2010) Multimodal eye recognition. Proc SPIE Int Soc Opt Eng 7708:04","journal-title":"Proc SPIE Int Soc Opt Eng"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04782-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-020-04782-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04782-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T10:09:26Z","timestamp":1613729366000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-020-04782-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,19]]},"references-count":62,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["4782"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-04782-1","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,19]]},"assertion":[{"value":"14 November 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 February 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 February 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}