{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T14:22:26Z","timestamp":1742998946794,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819985647"},{"type":"electronic","value":"9789819985654"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-981-99-8565-4_8","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T06:03:13Z","timestamp":1701410593000},"page":"73-84","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["3D Fingerprint Reconstruction and\u00a0Registration Based on Binocular Structured Light"],"prefix":"10.1007","author":[{"given":"Jingjing","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuping","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhan","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,2]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"Auksorius, E., Boccara, A.C.: Fast subsurface fingerprint imaging with fullfield optical coherence tomography system equipped with a silicon camera. J. Biomed. Opt. 22(09), 1 (2017). ISSN: 1083\u20133668, https:\/\/www.spiedigitallibrary.org\/journals\/journal-of-biomedical-optics\/volume-22\/issue-09\/096002\/Fast-subsurface-fingerprint-imaging-with-fullfield-optical-coherence-tomography\/10.1117\/1.JBO.22.9.096002.full, https:\/\/doi.org\/10.1117\/1.JBO.22.9.096002","DOI":"10.1117\/1.JBO.22.9.096002"},{"key":"8_CR2","doi-asserted-by":"publisher","unstructured":"Auksorius, E., Boccara, A.C.: Fingerprint imaging from the inside of a finger with full-field optical coherence tomography. Biomed. Opt. Express 6(11), 4465 (2015). ISSN: 2156\u20137085, 2156\u20137085, https:\/\/opg.optica.org\/abstract.cfm?URI=boe-6-11-4465, https:\/\/doi.org\/10.1364\/BOE.6.004465","DOI":"10.1364\/BOE.6.004465"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Chatterjee, A., et al.: Anti-spoof touchless 3D fingerprint recognition system using single shot fringe projection and biospeckle analysis. Opt. Lasers Eng. (2017). https:\/\/doi.org\/10.1016\/j.optlaseng.2017.03.007","DOI":"10.1016\/j.optlaseng.2017.03.007"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Ding, B., et al.: End-to-End surface and internal fingerprint reconstruction from optical coherence tomography based on contour regression. IEEE Trans. Inf. Forensics Secur. 18 (2023)","DOI":"10.1109\/TIFS.2022.3219345"},{"key":"8_CR5","doi-asserted-by":"publisher","unstructured":"Ding, B., et al.: Surface and internal fingerprint reconstruction from optical coherence tomography through convolutional neural network. IEEE Trans. Inform. Forensic Secur. 16, 685\u2013700 (2021). ISSN: 1556\u20136013, 1556\u20136021, https:\/\/ieeexplore.ieee.org\/document\/9167283\/, https:\/\/doi.org\/10.1109\/TIFS.2020.3016829","DOI":"10.1109\/TIFS.2020.3016829"},{"key":"8_CR6","doi-asserted-by":"publisher","unstructured":"Huang, S., et al.: 3D fingerprint imaging system based on full-field fringe projection profilometry. Opt. Lasers Eng. 52, 123\u2013130 (2014). ISSN: 01438166, https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0143816613002091, https:\/\/doi.org\/10.1016\/j.optlaseng.2013.07.001","DOI":"10.1016\/j.optlaseng.2013.07.001"},{"key":"8_CR7","doi-asserted-by":"publisher","unstructured":"Jiang, X., et al.: Monolithic ultrasound fingerprint sensor. Microsyst. Nanoeng. 3(1), 17059 (2017). ISSN: 2055\u20137434, https:\/\/www.nature.com\/articles\/micronano201759, https:\/\/doi.org\/10.1038\/micronano.2017.59","DOI":"10.1038\/micronano.2017.59"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Kumar, A., Kwong, C.: Towards contactless, low-cost and accurate 3D fingerprint identification. IEEE Trans. Pattern Anal. Mach. Intell. 37(3) (2015)","DOI":"10.1109\/TPAMI.2014.2339818"},{"key":"8_CR9","doi-asserted-by":"publisher","unstructured":"Lin, C., Kumar, A.: Tetrahedron based fast 3D fingerprint identification using colored LEDs illumination. IEEE Trans. Pattern Anal. Mach. Intell. 40(12), 3022\u20133033 (2018). ISSN: 0162\u20138828, 2160\u20139292, 1939\u20133539, https:\/\/ieeexplore.ieee.org\/document\/8100983\/, https:\/\/doi.org\/10.1109\/TPAMI.2017.2771292","DOI":"10.1109\/TPAMI.2017.2771292"},{"key":"8_CR10","doi-asserted-by":"publisher","unstructured":"Liu, F., Zhang, D.: 3D fingerprint reconstruction system using feature correspondences and prior estimated finger model. Pattern Recognit. 47(1), 178\u2013193 (2014). ISSN: 00313203, https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320313002616, https:\/\/doi.org\/10.1016\/j.patcog.2013.06.009","DOI":"10.1016\/j.patcog.2013.06.009"},{"key":"8_CR11","doi-asserted-by":"publisher","unstructured":"Liu, F., et al.: Touchless multiview fingerprint acquisition and mosaicking. IEEE Trans. Instrum. Meas. 62(9), 2492\u20132502 (2013). ISSN: 0018\u20139456, 1557\u20139662, http:\/\/ieeexplore.ieee.org\/document\/6562785\/, https:\/\/doi.org\/10.1109\/TIM.2013.2258248","DOI":"10.1109\/TIM.2013.2258248"},{"key":"8_CR12","unstructured":"Parziale, G., Diaz-Santana, E., Hauke, R.: The surround imager$$^{\\rm TM}$$: a multicamera touchless device to acquire 3D rolled-equivalent fingerprints"},{"key":"8_CR13","doi-asserted-by":"publisher","unstructured":"Saijo, Y., et al.: High frequency ultrasound imaging of surface and subsurface structures of fingerprints. In: 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2173\u20132176. IEEE, Vancouver, BC, August 2008. ISBN: 978-1-4244-1814-5, https:\/\/ieeexplore.ieee.org\/document\/4649625\/, https:\/\/doi.org\/10.1109\/IEMBS.2008.4649625","DOI":"10.1109\/IEMBS.2008.4649625"},{"key":"8_CR14","doi-asserted-by":"publisher","unstructured":"Song, Z., Chung, R., Zhang, X.T.: An accurate and robust strip-edge- based structured light means for shiny surface micromeasurement in 3-D. IEEE Trans. Ind. Electron. 60(3), 1023\u20131032 (2013). ISSN: 0278\u20130046, 1557\u20139948, http:\/\/ieeexplore.ieee.org\/document\/6157617\/, https:\/\/doi.org\/10.1109\/TIE.2012.2188875","DOI":"10.1109\/TIE.2012.2188875"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Wang, Y., Hassebrook, L.G., Lau, D.L.: Data acquisition and processing of 3-D fingerprints. IEEE Trans. Inf. Forensics Secur.\u2013JCI 1.90 Q1 5.4 (2010)","DOI":"10.1109\/TIFS.2010.2062177"},{"key":"8_CR16","doi-asserted-by":"publisher","unstructured":"Xie, W., Song, Z., Chung, R.: Real-time three-dimensional fingerprint acquisition via a new photometric stereo means. Opt. Eng. 52(10), 103103 (2013). ISSN: 0091\u20133286, http:\/\/opticalengineering.spiedigitallibrary.org\/article.aspx?doi=10.1117\/1.OE.52.10.103103, https:\/\/doi.org\/10.1117\/1.OE.52.10.103103","DOI":"10.1117\/1.OE.52.10.103103"},{"key":"8_CR17","doi-asserted-by":"publisher","unstructured":"Yalla, V., et al.: High-quality 3D fingerprint acquisition using a novel sub-windowbased structured light illumination approach. In: Proceedings of SPIE (2010). https:\/\/doi.org\/10.1117\/12.855513","DOI":"10.1117\/12.855513"},{"key":"8_CR18","doi-asserted-by":"publisher","unstructured":"Zhao, C., et al.: Ultrasonic guided wave inversion based on deep learning restoration for fingerprint recognition. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 69(10), 2965\u20132974 (2022). ISSN: 0885\u20133010, 1525\u20138955, https:\/\/ieeexplore.ieee.org\/document\/9856608\/, https:\/\/doi.org\/10.1109\/TUFFC.2022.3198503","DOI":"10.1109\/TUFFC.2022.3198503"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8565-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:09:23Z","timestamp":1701734963000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8565-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819985647","9789819985654"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8565-4_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"2 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Biometric Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xuzhou","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":"1 December 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccbr2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ccbr99.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":"79","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":"41","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":"0","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":"52% - 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":"3","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":"3","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)"}}]}}