{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T07:43:22Z","timestamp":1757576602559,"version":"3.37.3"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T00:00:00Z","timestamp":1692748800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T00:00:00Z","timestamp":1692748800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002635","name":"Inha University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002635","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-023-16508-1","type":"journal-article","created":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T07:02:22Z","timestamp":1692774142000},"page":"27589-27617","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Segmentation-based ID preserving iris synthesis using generative adversarial networks"],"prefix":"10.1007","volume":"83","author":[{"given":"Vijay","family":"Kakani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheng-Bin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4232-3804","authenticated-orcid":false,"given":"Hakil","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,23]]},"reference":[{"key":"16508_CR1","doi-asserted-by":"crossref","unstructured":"Abdigapporov S, Miraliev S, Kakani V, Kim H (2023) Joint multiclass object detection and semantic segmentation for autonomous driving. IEEE Access","DOI":"10.1109\/ACCESS.2023.3266284"},{"issue":"12","key":"16508_CR2","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","volume":"39","author":"V Badrinarayanan","year":"2017","unstructured":"Badrinarayanan V, Kendall A, Cipolla R (2017) Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39(12):2481\u20132495","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"16508_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2020.104007","volume":"104","author":"F Boutros","year":"2020","unstructured":"Boutros F, Damer N, Raja K, Ramachandra R, Kirchbuchner F, Kuijper A (2020) Iris and periocular biometrics for head mounted displays: Segmentation, recognition, and synthetic data generation. Image and Vision Computing 104:104007","journal-title":"Image and Vision Computing"},{"key":"16508_CR4","doi-asserted-by":"crossref","unstructured":"Cappelli R, Erol A, Maio D, Maltoni D (2000) Synthetic fingerprint-image generation. In: Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, vol. 3, pp 471\u2013474. IEEE","DOI":"10.1109\/ICPR.2000.903586"},{"key":"16508_CR5","doi-asserted-by":"crossref","unstructured":"Cheng Z, Liang J, Choi H, Tao G, Cao Z, Liu D, Zhang X (2022) Physical attack on monocular depth estimation with optimal adversarial patches. In: Computer Vision\u2013ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part XXXVIII, pp 514\u2013532. Springer","DOI":"10.1007\/978-3-031-19839-7_30"},{"key":"16508_CR6","unstructured":"Cheng Z, Liang J, Tao G, Liu D, Zhang X (2023) Adversarial training of self-supervised monocular depth estimation against physical-world attacks. arXiv preprint arXiv:2301.13487"},{"issue":"4","key":"16508_CR7","doi-asserted-by":"publisher","first-page":"2370","DOI":"10.1109\/TCYB.2020.3005089","volume":"52","author":"M Choudhary","year":"2020","unstructured":"Choudhary M, Tiwari V, Venkanna U (2020) Iris liveness detection using fusion of domain-specific multiple bsif and densenet features. IEEE transactions on cybernetics 52(4):2370\u20132381","journal-title":"IEEE transactions on cybernetics"},{"key":"16508_CR8","doi-asserted-by":"crossref","unstructured":"Cui J, Wang Y, Huang J, Tan T, Sun Z (2004) An iris image synthesis method based on pca and super-resolution. In: Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., vol 4. pp 471\u2013474. IEEE","DOI":"10.1109\/ICPR.2004.1333804"},{"key":"16508_CR9","doi-asserted-by":"crossref","unstructured":"Dabouei A, Kazemi H, Iranmanesh SM, Dawson J, Nasrabadi NM et al (2018) Id preserving generative adversarial network for partial latent fingerprint reconstruction. In: 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), pp 1\u201310. IEEE","DOI":"10.1109\/BTAS.2018.8698580"},{"issue":"11","key":"16508_CR10","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.1109\/34.244676","volume":"15","author":"JG Daugman","year":"1993","unstructured":"Daugman JG (1993) High confidence visual recognition of persons by a test of statistical independence. IEEE transactions on pattern analysis and machine intelligence 15(11):1148\u20131161","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"16508_CR11","unstructured":"Garbin SJ, Shen Y, Schuetz I, Cavin R, Hughes G, Talathi SS (2019) Openeds: Open eye dataset. arXiv preprint arXiv:1905.03702"},{"key":"16508_CR12","doi-asserted-by":"publisher","unstructured":"Ghimire A, Kakani V, Kim H (2023) Ssrt: A sequential skeleton rgb transformer to recognize fine-grained human-object interactions and action recognition. IEEE Access, p 1\u20131 https:\/\/doi.org\/10.1109\/ACCESS.2023.3278974","DOI":"10.1109\/ACCESS.2023.3278974"},{"key":"16508_CR13","unstructured":"Heusel M, Ramsauer H, Unterthiner T, Nessler B, Hochreiter S (2017) Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30"},{"key":"16508_CR14","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"16508_CR15","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Identity mappings in deep residual networks. In: European Conference on Computer Vision, pp 630\u2013645. Springer","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"16508_CR16","doi-asserted-by":"crossref","unstructured":"Isola P, Zhu J-Y, Zhou T, Efros AA (2017) Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1125\u20131134","DOI":"10.1109\/CVPR.2017.632"},{"key":"16508_CR17","doi-asserted-by":"publisher","first-page":"3271","DOI":"10.1007\/s12652-020-02172-y","volume":"12","author":"J Jayanthi","year":"2021","unstructured":"Jayanthi J, Lydia EL, Krishnaraj N, Jayasankar T, Babu RL, Suji RA (2021) An effective deep learning features based integrated framework for iris detection and recognition. Journal of Ambient Intelligence and Humanized Computing 12:3271\u20133281","journal-title":"Journal of Ambient Intelligence and Humanized Computing"},{"key":"16508_CR18","doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: European Conference on Computer Vision, pp 694\u2013711. Springer","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"16508_CR19","doi-asserted-by":"publisher","first-page":"94249","DOI":"10.1109\/ACCESS.2022.3203174","volume":"10","author":"S Juraev","year":"2022","unstructured":"Juraev S, Ghimire A, Alikhanov J, Kakani V, Kim H (2022) Exploring human pose estimation and the usage of synthetic data for elderly fall detection in real-world surveillance. IEEE Access 10:94249\u201394261","journal-title":"IEEE Access"},{"key":"16508_CR20","doi-asserted-by":"crossref","unstructured":"Kakani V, Cui X, Ma M, Kim H (2021) Vision-based tactile sensor mechanism for the estimation of contact position and force distribution using deep learning. Sensors 21(5):1920","DOI":"10.3390\/s21051920"},{"key":"16508_CR21","doi-asserted-by":"crossref","unstructured":"Kakani V, Lee S, Cui X, Kim H (2022) Performance analysis of spiking neural network using temporal spike-based backpropagation on field programmable gate array (fpga) platform. In: 2022 IEEE Region 10 Symposium (TENSYMP), pp 1\u20136. IEEE","DOI":"10.1109\/TENSYMP54529.2022.9864534"},{"key":"16508_CR22","doi-asserted-by":"crossref","unstructured":"Kansal P, Devanathan S (2019) Eyenet: Attention based convolutional encoder-decoder network for eye region segmentation. In: 2019 IEEE\/CVF International Conference on Computer Vision Workshop (ICCVW), pp 3688\u20133693. IEEE","DOI":"10.1109\/ICCVW.2019.00456"},{"key":"16508_CR23","unstructured":"Keskar NS, Socher R (2017) Improving generalization performance by switching from adam to sgd. arXiv preprint arXiv:1712.07628"},{"issue":"1\/2","key":"16508_CR24","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1353\/wsq.0.0150","volume":"37","author":"KE Ketchum","year":"2009","unstructured":"Ketchum KE (2009) Facegen and the technovisual politics of embodied surfaces. Women\u2019s Studies Quarterly 37(1\/2):183\u2013199","journal-title":"Women\u2019s Studies Quarterly"},{"key":"16508_CR25","unstructured":"Kim T, Cha M, Kim H, Lee JK, Kim J (2017) Learning to discover cross-domain relations with generative adversarial networks. In: International Conference on Machine Learning, pp 1857\u20131865. PMLR"},{"key":"16508_CR26","doi-asserted-by":"crossref","unstructured":"Kohli N, Yadav D, Vatsa M, Singh R, Noore A (2017) Synthetic iris presentation attack using idcgan. In: 2017 IEEE International Joint Conference on Biometrics (IJCB), pp 674\u2013680. IEEE","DOI":"10.1109\/BTAS.2017.8272756"},{"key":"16508_CR27","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1016\/j.ins.2021.06.042","volume":"575","author":"H Lee","year":"2021","unstructured":"Lee H, Kim S (2021) Sspnet: Learning spatiotemporal saliency prediction networks for visual tracking. Information Sciences 575:399\u2013416","journal-title":"Information Sciences"},{"issue":"6","key":"16508_CR28","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/MCG.2003.1242384","volume":"23","author":"A Lefohn","year":"2003","unstructured":"Lefohn A, Budge B, Shirley P, Caruso R, Reinhard E (2003) An ocularist\u2019s approach to human iris synthesis. IEEE Computer Graphics and Applications 23(6):70\u201375","journal-title":"IEEE Computer Graphics and Applications"},{"key":"16508_CR29","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.ins.2021.06.045","volume":"575","author":"X Liao","year":"2021","unstructured":"Liao X, Huang Z, Peng L, Qiao T (2021) First step towards parameters estimation of image operator chain. Information Sciences 575:231\u2013247","journal-title":"Information Sciences"},{"key":"16508_CR30","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.ins.2021.07.034","volume":"578","author":"Y Liu","year":"2021","unstructured":"Liu Y, Dai W, Fang F, Chen Y, Huang R, Wang R, Wan B (2021) Dynamic multi-channel metric network for joint pose-aware and identity-invariant facial expression recognition. Information Sciences 578:195\u2013213","journal-title":"Information Sciences"},{"key":"16508_CR31","doi-asserted-by":"crossref","unstructured":"Li Y, You J, Zhou J, Wang W, Liao X, Li X (2022) Image operation chain detection with machine translation framework. IEEE Transactions on Multimedia","DOI":"10.1109\/TMM.2022.3215000"},{"key":"16508_CR32","unstructured":"Maas AL, Hannun AY, Ng AY et al (2013) Rectifier nonlinearities improve neural network acoustic models. In: Proc. Icml, vol 30. p 3 Citeseer"},{"issue":"3","key":"16508_CR33","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1109\/34.990140","volume":"24","author":"D Maio","year":"2002","unstructured":"Maio D, Maltoni D, Cappelli R, Wayman JL, Jain AK (2002) Fvc 2000: Fingerprint verification competition. IEEE transactions on pattern analysis and machine intelligence 24(3):402\u2013412","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"16508_CR34","doi-asserted-by":"crossref","unstructured":"Maio D, Maltoni D, Cappelli R, Wayman JL, Jain AK (2002b) Fvc2002: Second fingerprint verification competition. In: Object Recognition Supported by User Interaction for Service Robots, vol 3. pp 811\u2013814. IEEE","DOI":"10.1109\/ICPR.2002.1048144"},{"key":"16508_CR35","doi-asserted-by":"crossref","unstructured":"Maio D, Maltoni D, Cappelli R, Wayman JL, Jain AK (2004) Fvc2004: Third fingerprint verification competition. In: International Conference on Biometric Authentication, pp 1\u20137. Springer","DOI":"10.1007\/978-3-540-25948-0_1"},{"key":"16508_CR36","unstructured":"Makthal S, Ross A (2005) Synthesis of iris images using markov random fields. In: 2005 13th European Signal Processing Conference, pp 1\u20134. IEEE"},{"key":"16508_CR37","unstructured":"Minaee S, Abdolrashidi A (2018) Iris-gan: Learning to generate realistic iris images using convolutional gan. arXiv preprint arXiv:1812.04822"},{"key":"16508_CR38","doi-asserted-by":"crossref","unstructured":"Miraliev S, Abdigapporov S, Kakani V, Kim H (2023) Real-time memory efficient multitask learning model for autonomous driving. IEEE Transactions on Intelligent Vehicles","DOI":"10.1109\/TIV.2023.3270878"},{"issue":"27","key":"16508_CR39","doi-asserted-by":"publisher","first-page":"19215","DOI":"10.1007\/s11042-020-08680-5","volume":"79","author":"MK Morampudi","year":"2020","unstructured":"Morampudi MK, Prasad MV, Raju U (2020) Privacy-preserving iris authentication using fully homomorphic encryption. Multimedia Tools and Applications 79(27):19215\u201319237","journal-title":"Multimedia Tools and Applications"},{"key":"16508_CR40","first-page":"1","volume":"71","author":"J Ni","year":"2022","unstructured":"Ni J, Shen K, Chen Y, Cao W, Yang SX (2022) An improved deep network-based scene classification method for self-driving cars. IEEE Transactions on Instrumentation and Measurement 71:1\u201314","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"16508_CR41","first-page":"1","volume":"72","author":"J Ni","year":"2023","unstructured":"Ni J, Shen K, Chen Y, Yang SX (2023) An improved ssd-like deep network-based object detection method for indoor scenes. IEEE Transactions on Instrumentation and Measurement 72:1\u201315","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"issue":"12","key":"16508_CR42","doi-asserted-by":"publisher","first-page":"5792","DOI":"10.1002\/cpe.5792","volume":"34","author":"X Ning","year":"2022","unstructured":"Ning X, Gou D, Dong X, Tian W, Yu L, Wang C (2022) Conditional generative adversarial networks based on the principle of homologycontinuity for face aging. Concurrency and Computation: Practice and Experience 34(12):5792","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"16508_CR43","unstructured":"Orlans NM, Buettner DJ, Marques J (2004) A survey of synthetic biometrics: Capabilities and benefits. In: IC-AI, pp 499\u2013505"},{"key":"16508_CR44","doi-asserted-by":"crossref","unstructured":"Orlans NM, Piszcz AT, Chavez RJ (2003) Parametrically controlled synthetic imagery experiment for face recognition testing. In: Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, pp 58\u201364","DOI":"10.1145\/982507.982519"},{"issue":"5","key":"16508_CR45","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1109\/TPAMI.2009.59","volume":"32","author":"PJ Phillips","year":"2009","unstructured":"Phillips PJ, Scruggs WT, O\u2019Toole AJ, Flynn PJ, Bowyer KW, Schott CL, Sharpe M (2009) Frvt 2006 and ice 2006 large-scale experimental results. IEEE transactions on pattern analysis and machine intelligence 32(5):831\u2013846","journal-title":"IEEE transactions on pattern analysis and machine intelligence"},{"key":"16508_CR46","doi-asserted-by":"crossref","unstructured":"Proen\u00e7a H, Filipe S, Santos R, Oliveira J, Alexandre LA (2009) The ubiris. v2: A database of visible wavelength iris images captured on-the-move and at-a-distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(8):1529\u20131535","DOI":"10.1109\/TPAMI.2009.66"},{"key":"16508_CR47","unstructured":"Radford A, Metz L, Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434"},{"key":"16508_CR48","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\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp 234\u2013241. Springer","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"16508_CR49","doi-asserted-by":"crossref","unstructured":"Shrivastava A, Pfister T, Tuzel O, Susskind J, Wang W, Webb R (2017) Learning from simulated and unsupervised images through adversarial training. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2107\u20132116","DOI":"10.1109\/CVPR.2017.241"},{"issue":"2","key":"16508_CR50","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/TNSE.2021.3139671","volume":"9","author":"J Tan","year":"2021","unstructured":"Tan J, Liao X, Liu J, Cao Y, Jiang H (2021) Channel attention image steganography with generative adversarial networks. IEEE Transactions on Network Science and Engineering 9(2):888\u2013903","journal-title":"IEEE Transactions on Network Science and Engineering"},{"key":"16508_CR51","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/TIFS.2021.3132582","volume":"17","author":"JE Tapia","year":"2021","unstructured":"Tapia JE, Gonzalez S, Busch C (2021) Iris liveness detection using a cascade of dedicated deep learning networks. IEEE Transactions on Information Forensics and Security 17:42\u201352","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"16508_CR52","unstructured":"Ulyanov D, Vedaldi A, Lempitsky V (2016) Instance normalization: The missing ingredient for fast stylization. arXiv preprint arXiv:1607.08022"},{"key":"16508_CR53","unstructured":"Vijaykumar V (2021) A qualitative analysis on iris localization techniques and approaches of machine learning in iris recognition systems. Design Engineering, p 10921\u201310944"},{"key":"16508_CR54","unstructured":"Wang W, Han C, Zhou T, Liu D (2022) Visual recognition with deep nearest centroids. arXiv preprint arXiv:2209.07383"},{"key":"16508_CR55","doi-asserted-by":"crossref","unstructured":"Wei H, Tang H, Jia X, Yu H, Li Z, Wang Z, Satoh S, Wang Z (2022) Physical adversarial attack meets computer vision: A decade survey. arXiv preprint arXiv:2209.15179","DOI":"10.21203\/rs.3.rs-2459893\/v1"},{"key":"16508_CR56","doi-asserted-by":"crossref","unstructured":"Wei Z, Tan T, Sun Z (2008) Synthesis of large realistic iris databases using patch-based sampling. In: 2008 19th International Conference on Pattern Recognition, pp 1\u20134. IEEE","DOI":"10.1109\/ICPR.2008.4761674"},{"key":"16508_CR57","doi-asserted-by":"crossref","unstructured":"Wu G, He F, Zhou Y, Jing Y, Ning X, Wang C, Jin B (2022) Acgan: Age-compensated makeup transfer based on homologous continuity generative adversarial network model. IET Computer Vision","DOI":"10.1049\/cvi2.12138"},{"key":"16508_CR58","unstructured":"Xiao T, Xia T, Yang Y, Huang C, Wang X (2015) Learning from massive noisy labeled data for image classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2691\u20132699"},{"key":"16508_CR59","doi-asserted-by":"crossref","unstructured":"Yadav S, Chen C, Ross A (2019) Synthesizing iris images using rasgan with application in presentation attack detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp 0\u20130","DOI":"10.1109\/CVPRW.2019.00297"},{"key":"16508_CR60","doi-asserted-by":"crossref","unstructured":"Yadav S, Ross A (2021) Cit-gan: Cyclic image translation generative adversarial network with application in iris presentation attack detection. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp 2412\u20132421","DOI":"10.1109\/WACV48630.2021.00246"},{"key":"16508_CR61","unstructured":"Zhang H, Sun Z, Tan T, Wang J (2011) Learning hierarchical visual codebook for iris liveness detection. In: International Joint Conference on Biometrics, vol 1"},{"key":"16508_CR62","doi-asserted-by":"crossref","unstructured":"Zhu J-Y, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp 2223\u20132232","DOI":"10.1109\/ICCV.2017.244"},{"key":"16508_CR63","doi-asserted-by":"crossref","unstructured":"Zou H, Zhang H, Li X, Liu J, He Z (2021) Generation textured contact lenses iris images based on 4dcycle-gan. In: 2018 24th International Conference on Pattern Recognition (ICPR), pp 3561\u20133566. IEEE","DOI":"10.1109\/ICPR.2018.8546154"},{"issue":"1","key":"16508_CR64","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1109\/TIFS.2006.890305","volume":"2","author":"J Zuo","year":"2007","unstructured":"Zuo J, Schmid NA, Chen X (2007) On generation and analysis of synthetic iris images. IEEE Transactions on Information Forensics and Security 2(1):77\u201390","journal-title":"IEEE Transactions on Information Forensics and Security"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16508-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-16508-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-16508-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T16:40:09Z","timestamp":1729960809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-16508-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,23]]},"references-count":64,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["16508"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-16508-1","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2023,8,23]]},"assertion":[{"value":"22 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 August 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest\/Competing interests"}}]}}