{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T02:17:18Z","timestamp":1771294638199,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819984688","type":"print"},{"value":"9789819984695","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T00:00:00Z","timestamp":1703462400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T00:00:00Z","timestamp":1703462400000},"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\/978-981-99-8469-5_9","type":"book-chapter","created":{"date-parts":[[2023,12,24]],"date-time":"2023-12-24T17:02:18Z","timestamp":1703437338000},"page":"110-121","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PalmKeyNet: Palm Template Protection Based on\u00a0Multi-modal Shared Key"],"prefix":"10.1007","author":[{"given":"Xinxin","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5938-5409","authenticated-orcid":false,"given":"Huabin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Mingzhao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Tao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,12,25]]},"reference":[{"issue":"6","key":"9_CR1","doi-asserted-by":"publisher","first-page":"948","DOI":"10.1109\/JPROC.2004.827372","volume":"92","author":"U Uludag","year":"2004","unstructured":"Uludag, U., Pankanti, S., Prabhakar, S., et al.: Biometric cryptosystems: issues and challenges. Proc. IEEE 92(6), 948\u2013960 (2004)","journal-title":"Proc. IEEE"},{"key":"9_CR2","unstructured":"Cavoukian, A., Stoianov, A.: Biometric encryption: a positive-sum technology that achieves strong authentication, security and privacy. Technical report, Office of the Information and Privacy Commissioner of Ontario, Toronto, Ontario, Canada, March 2007"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Kaur, T., Kaur, M.: Cryptographic key generation from multimodal template using fuzzy extractor. In: 2017 Tenth International Conference on Contemporary Computing (IC3), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/IC3.2017.8284321"},{"issue":"12","key":"9_CR4","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4513","volume":"31","author":"V Sujitha","year":"2019","unstructured":"Sujitha, V., Chitra, D.: Highly secure palmprint based biometric template using fuzzy vault. Concurr. Comput. Pract. Exp. 31(12), e4513 (2019)","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"9_CR5","first-page":"1","volume":"2021","author":"R Asthana","year":"2021","unstructured":"Asthana, R., Walia, G.S., Gupta, A.: A novel biometric crypto system based on cryptographic key binding with user biometrics. Multimed. Syst. 2021, 1\u201315 (2021)","journal-title":"Multimed. Syst."},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"16532","DOI":"10.1109\/ACCESS.2017.2737544","volume":"5","author":"Y Ma","year":"2017","unstructured":"Ma, Y., Wu, L., Gu, X., et al.: A secure face-verification scheme based on homomorphic encryption and deep neural networks. IEEE Access 5, 16532\u201316538 (2017)","journal-title":"IEEE Access"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Kumar Jindal, A., Chalamala, S., Kumar Jami, S.: Face template protection using deep convolutional neural network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 462\u2013470 (2018)","DOI":"10.1109\/CVPRW.2018.00087"},{"key":"9_CR8","doi-asserted-by":"crossref","unstructured":"Roh, J., Cho, S., Jin, S.H.: Learning based biometric key generation method using CNN and RNN. In: 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE), pp. 136\u2013139. IEEE (2018)","DOI":"10.1109\/ICITEED.2018.8534873"},{"issue":"9\u201310","key":"9_CR9","doi-asserted-by":"publisher","first-page":"6823","DOI":"10.1007\/s11042-019-08507-y","volume":"79","author":"ND Roy","year":"2020","unstructured":"Roy, N.D., Biswas, A.: Fast and robust retinal biometric key generation using deep neural nets. Multimed. Tools Appl. 79(9\u201310), 6823\u20136843 (2020)","journal-title":"Multimed. Tools Appl."},{"key":"9_CR10","unstructured":"Yang, B., Busch, C.: Privacy-enhanced biometrics-secret binding scheme: U.S. Patent 10,594,688[P]. 2020-3-17 (2020)"},{"key":"9_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., et al.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Sandler, M., Howard, A., Zhu, M., et al.: Mobilenetv 2: inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4510\u20134520 ( 2018)","DOI":"10.1109\/CVPR.2018.00474"},{"key":"9_CR13","unstructured":"Tan, M., Le, Q.: Efficientnet: rethinking model scaling for convolutional neural networks. In: International Conference on Machine Learning, pp. 6105\u20136114. PMLR (2019)"},{"key":"9_CR14","unstructured":"Polyu palmprint database (version 2.0). https:\/\/www.comp.polyu.edu.hk\/~biometrics. Accessed 03 Feb 2022"},{"key":"9_CR15","unstructured":"Iitd touchless palmprint database (version 1.0). http:\/\/www4.comp.polyu.edu.hk\/csajaykr\/IITD\/DatabasePalm.htm. Accessed 03 Feb 2022"},{"key":"9_CR16","unstructured":"Center for biometrics and security research. Cassia multispectral palmprint database. http:\/\/biometrics.idealtest.org\/. Accessed 03 Feb 2022"},{"issue":"4","key":"9_CR17","doi-asserted-by":"publisher","first-page":"78","DOI":"10.3390\/sym10040078","volume":"10","author":"L Zhang","year":"2018","unstructured":"Zhang, L., Cheng, Z., Shen, Y., et al.: Palmprint and palm vein recognition based on DCNN and a new large-scale contactless palm vein dataset. Symmetry 10(4), 78 (2018)","journal-title":"Symmetry"},{"key":"9_CR18","unstructured":"Tongji palmprint image database. https:\/\/cslinzhang.github.io\/ContactlessPalm\/. Accessed 03 Feb 2022"},{"issue":"12","key":"9_CR19","doi-asserted-by":"publisher","first-page":"3160","DOI":"10.1109\/TIFS.2019.2911165","volume":"14","author":"A Genovese","year":"2019","unstructured":"Genovese, A., Piuri, V., Plataniotis, K.N., et al.: PalmNet: gabor-PCA convolutional networks for touchless palmprint recognition. IEEE Trans. Inf. Forensics Secur. 14(12), 3160\u20133174 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"9_CR20","doi-asserted-by":"publisher","first-page":"135816","DOI":"10.1109\/ACCESS.2021.3112513","volume":"9","author":"T Wu","year":"2021","unstructured":"Wu, T., Leng, L., Khan, M.K., et al.: Palmprint-palmvein fusion recognition based on deep hashing network. IEEE Access 9, 135816\u2013135827 (2021)","journal-title":"IEEE Access"},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"4005","DOI":"10.1109\/ACCESS.2019.2963078","volume":"8","author":"S Cho","year":"2019","unstructured":"Cho, S., Oh, B.S., Toh, K.A., et al.: Extraction and cross-matching of palm-vein and palmprint from the RGB and the NIR spectrums for identity verification. IEEE Access 8, 4005\u20134021 (2019)","journal-title":"IEEE Access"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Genovese, A., Piuri, V., Plataniotis, K.N., Scotti, F.: PalmNet: gabor-PCA convolutional networks for touchless palmprint recognition. IEEE Trans. Inf. Forensics Secur. 14, 1556\u20136013 (2019)","DOI":"10.1109\/TIFS.2019.2911165"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Genovese, A., Piuri, V., Scotti, F., Vishwakarma, S.: Touchless palm-print and finger texture recognition: a deep learning fusion approach. In: Proceedings of the 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2019), Tianjin, China, June 2019","DOI":"10.1109\/CIVEMSA45640.2019.9071620"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-8469-5_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,24]],"date-time":"2023-12-24T17:03:44Z","timestamp":1703437424000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-8469-5_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,25]]},"ISBN":["9789819984688","9789819984695"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-8469-5_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,25]]},"assertion":[{"value":"25 December 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xiamen","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":"13 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/prcv2023.xmu.edu.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":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1420","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":"532","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":"37% - 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":"3,78","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":"3,69","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)"}}]}}