{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:15:44Z","timestamp":1743056144768,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819988495"},{"type":"electronic","value":"9789819988501"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-99-8850-1_10","type":"book-chapter","created":{"date-parts":[[2024,2,3]],"date-time":"2024-02-03T18:02:05Z","timestamp":1706983325000},"page":"116-129","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid Approach for\u00a0Segmenting Non-ideal Iris Images Using CGAN and\u00a0Geometry Constraints"],"prefix":"10.1007","author":[{"given":"Shanila","family":"Azhar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaomin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shizong","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guohua","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shan","family":"Chan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,2,4]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"Alonso-Fernandez, F., Bigun, J.: Quality factors affecting iris segmentation and matching. In: 2013 International Conference on Biometrics (ICB), pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/ICB.2013.6613016"},{"issue":"11","key":"10_CR2","doi-asserted-by":"publisher","first-page":"263","DOI":"10.3390\/sym9110263","volume":"9","author":"M Arsalan","year":"2017","unstructured":"Arsalan, M., et al.: Deep learning-based iris segmentation for iris recognition in visible light environment. Symmetry 9(11), 263 (2017)","journal-title":"Symmetry"},{"issue":"5","key":"10_CR3","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.3390\/s18051501","volume":"18","author":"M Arsalan","year":"2018","unstructured":"Arsalan, M., Naqvi, R., Kim, D., Nguyen, P., Owais, M., Park, K.: IrisDenseNet: robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera sensors. Sensors 18(5), 1501 (2018)","journal-title":"Sensors"},{"key":"10_CR4","unstructured":"of Sciences Institute of Automation, C.A.: Casia-irisv4 (2005)."},{"key":"10_CR5","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.neunet.2018.06.011","volume":"106","author":"S Bazrafkan","year":"2018","unstructured":"Bazrafkan, S., Thavalengal, S., Corcoran, P.: An end to end deep neural network for iris segmentation in unconstrained scenarios. Neural Netw. 106, 79\u201395 (2018)","journal-title":"Neural Netw."},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"Chen, Y., Adjouadi, M., Barreto, A., Rishe, N., Andrian, J.: A computational efficient iris extraction approach in unconstrained environments. In: 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, pp. 1\u20137. IEEE (2009)","DOI":"10.1109\/BTAS.2009.5339024"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Daugman, J.: How iris recognition works. In: The Essential Guide to Image Processing, pp. 715\u2013739. Elsevier (2009)","DOI":"10.1016\/B978-0-12-374457-9.00025-1"},{"key":"10_CR8","doi-asserted-by":"crossref","unstructured":"Gangwar, A., Joshi, A., Singh, A., Alonso-Fernandez, F., Bigun, J.: IrisSeg: a fast and robust iris segmentation framework for non-ideal iris images. In: 2016 International Conference on Biometrics (ICB), pp. 1\u20138. IEEE (2016)","DOI":"10.1109\/ICB.2016.7550096"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Hofbauer, H., Alonso-Fernandez, F., Wild, P., Bigun, J., Uhl, A.: A ground truth for iris segmentation. In: 2014 22nd International Conference on Pattern Recognition, pp. 527\u2013532. IEEE (2014)","DOI":"10.1109\/ICPR.2014.101"},{"issue":"12","key":"10_CR10","doi-asserted-by":"publisher","first-page":"2630","DOI":"10.1016\/j.sigpro.2009.05.001","volume":"89","author":"J Huang","year":"2009","unstructured":"Huang, J., You, X., Tang, Y.Y., Du, L., Yuan, Y.: A novel iris segmentation using radial-suppression edge detection. Signal Process. 89(12), 2630\u20132643 (2009)","journal-title":"Signal Process."},{"key":"10_CR11","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.patrec.2015.12.013","volume":"79","author":"AK Jain","year":"2016","unstructured":"Jain, A.K., Nandakumar, K., Ross, A.: 50 years of biometric research: accomplishments, challenges, and opportunities. Pattern Recogn. Lett. 79, 80\u2013105 (2016)","journal-title":"Pattern Recogn. Lett."},{"issue":"2","key":"10_CR12","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.imavis.2009.04.001","volume":"28","author":"DS Jeong","year":"2010","unstructured":"Jeong, D.S., et al.: A new iris segmentation method for non-ideal iris images. Image Vis. Comput. 28(2), 254\u2013260 (2010)","journal-title":"Image Vis. Comput."},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Koh, J., Govindaraju, V., Chaudhary, V.: A robust iris localization method using an active contour model and hough transform. In: 2010 20th International Conference on Pattern Recognition, pp. 2852\u20132856. IEEE (2010)","DOI":"10.1109\/ICPR.2010.699"},{"key":"10_CR14","doi-asserted-by":"crossref","unstructured":"Kong, W., Zhang, D.: Accurate iris segmentation based on novel reflection and eyelash detection model. In: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No. 01EX489), pp. 263\u2013266. IEEE (2001)","DOI":"10.1109\/ISIMP.2001.925384"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Liu, N., Li, H., Zhang, M., Liu, J., Sun, Z., Tan, T.: Accurate iris segmentation in non-cooperative environments using fully convolutional networks. In: 2016 International Conference on Biometrics (ICB), pp. 1\u20138. IEEE (2016)","DOI":"10.1109\/ICB.2016.7550055"},{"key":"10_CR16","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.patrec.2015.09.002","volume":"82","author":"N Othman","year":"2016","unstructured":"Othman, N., Dorizzi, B., Garcia-Salicetti, S.: Osiris: an open source iris recognition software. Pattern Recogn. Lett. 82, 124\u2013131 (2016)","journal-title":"Pattern Recogn. Lett."},{"issue":"1","key":"10_CR17","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.imavis.2009.03.003","volume":"28","author":"H Proen\u00e7a","year":"2010","unstructured":"Proen\u00e7a, H., Alexandre, L.A.: Iris recognition: analysis of the error rates regarding the accuracy of the segmentation stage. Image Vis. Comput. 28(1), 202\u2013206 (2010)","journal-title":"Image Vis. Comput."},{"issue":"8","key":"10_CR18","doi-asserted-by":"publisher","first-page":"1529","DOI":"10.1109\/TPAMI.2009.66","volume":"32","author":"H Proenca","year":"2009","unstructured":"Proenca, H., Filipe, S., Santos, R., Oliveira, J., Alexandre, L.A.: 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 (2009)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"10_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1007\/978-3-642-13775-4_26","volume-title":"Image Analysis and Recognition","author":"K Roy","year":"2010","unstructured":"Roy, K., Bhattacharya, P., Suen, C.Y.: Unideal iris segmentation using region-based active contour model. In: Campilho, A., Kamel, M. (eds.) ICIAR 2010. LNCS, vol. 6112, pp. 256\u2013265. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13775-4_26"},{"issue":"4","key":"10_CR21","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.: Iris segmentation using geodesic active contours. IEEE Trans. Inf. Forensics Secur. 4(4), 824\u2013836 (2009)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"2","key":"10_CR22","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1109\/TCE.2015.7150600","volume":"61","author":"S Thavalengal","year":"2015","unstructured":"Thavalengal, S., Bigioi, P., Corcoran, P.: Iris authentication in handheld devices-considerations for constraint-free acquisition. IEEE Trans. Consum. Electron. 61(2), 245\u2013253 (2015)","journal-title":"IEEE Trans. Consum. Electron."},{"issue":"9","key":"10_CR23","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1109\/5.628669","volume":"85","author":"RP Wildes","year":"1997","unstructured":"Wildes, R.P.: Iris recognition: an emerging biometric technology. Proc. IEEE 85(9), 1348\u20131363 (1997)","journal-title":"Proc. IEEE"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8850-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,10]],"date-time":"2024-11-10T02:04:08Z","timestamp":1731204248000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8850-1_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819988495","9789819988501"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8850-1_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"4 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CAAI International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fuzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicai2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cicai.caai.cn\/#\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"376","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.9","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}