{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,20]],"date-time":"2025-07-20T04:30:48Z","timestamp":1752985848712,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031023743"},{"type":"electronic","value":"9783031023750"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-02375-0_34","type":"book-chapter","created":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:03:10Z","timestamp":1652180590000},"page":"459-473","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["PalmNet: A Robust Palmprint Minutiae Extraction Network"],"prefix":"10.1007","author":[{"given":"Bing","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jufu","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,11]]},"reference":[{"issue":"3","key":"34_CR1","doi-asserted-by":"publisher","first-page":"956","DOI":"10.1109\/TSMCB.2012.2183635","volume":"42","author":"R Cappelli","year":"2012","unstructured":"Cappelli, R., Ferrara, M., Maio, D.: A fast and accurate palmprint recognition system based on minutiae. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 42(3), 956\u2013962 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"key":"34_CR2","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597\u20131607. PMLR (2020)"},{"issue":"8","key":"34_CR3","first-page":"1618","volume":"34","author":"J Dai","year":"2011","unstructured":"Dai, J., Feng, J., Zhou, J.: Robust and efficient ridge-based palmprint matching. IEEE Trans. Pattern Anal. Mach. Intell. 34(8), 1618\u20131632 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"34_CR4","first-page":"945","volume":"33","author":"J Dai","year":"2010","unstructured":"Dai, J., Zhou, J.: Multifeature-based high-resolution palmprint recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 945\u2013957 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"34_CR5","unstructured":"Dewan, S.K.: Elementary, Watson: Scan a palm, find a clue. The New York Times, p. 1 (2003)"},{"issue":"11","key":"34_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11432-014-5125-5","volume":"57","author":"J Feng","year":"2014","unstructured":"Feng, J., Liu, C., Wang, H., Sun, B.: High-resolution palmprint minutiae extraction based on Gabor feature. Sci. China Inf. Sci. 57(11), 1\u201315 (2014)","journal-title":"Sci. China Inf. Sci."},{"key":"34_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: 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"},{"issue":"8","key":"34_CR8","doi-asserted-by":"publisher","first-page":"777","DOI":"10.1109\/34.709565","volume":"20","author":"L Hong","year":"1998","unstructured":"Hong, L., Wan, Y., Jain, A.: Fingerprint image enhancement: algorithm and performance evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 20(8), 777\u2013789 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"34_CR9","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1109\/TPAMI.2008.242","volume":"31","author":"AK Jain","year":"2008","unstructured":"Jain, A.K., Feng, J.: Latent palmprint matching. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 1032\u20131047 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"34_CR10","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"34_CR11","unstructured":"Ko, K.: User\u2019s guide to NIST biometric image software (NBIS) (2007)"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Li, R., Song, D., Liu, Y., Feng, J.: Learning global fingerprint features by training a fully convolutional network with local patches. In: 2019 International Conference on Biometrics (ICB), pp. 1\u20138. IEEE (2019)","DOI":"10.1109\/ICB45273.2019.8987387"},{"key":"34_CR13","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. In: Proceedings of the IEEE International Conference on Computer Vision (2017)","DOI":"10.1109\/ICCV.2017.324"},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neucom.2021.01.049","volume":"438","author":"B Liu","year":"2021","unstructured":"Liu, B., Feng, J.: Palmprint orientation field recovery via attention-based generative adversarial network. Neurocomputing 438, 1\u201313 (2021)","journal-title":"Neurocomputing"},{"key":"34_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84882-254-2","volume-title":"Handbook of Fingerprint Recognition","author":"D Maltoni","year":"2009","unstructured":"Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition. Springer, London (2009). https:\/\/doi.org\/10.1007\/978-1-84882-254-2"},{"key":"34_CR16","doi-asserted-by":"crossref","unstructured":"Morales, A., Medina-P\u00e9rez, M.A., Ferrer, M.A., Garc\u00eda-Borroto, M., Robles, L.A.: LPIDB v1. 0-latent palmprint identification database. In: IEEE International Joint Conference on Biometrics, pp. 1\u20136. IEEE (2014)","DOI":"10.1109\/BTAS.2014.6996268"},{"key":"34_CR17","doi-asserted-by":"crossref","unstructured":"Nguyen, D.-L., Cao, K., Jain, A.K.: Robust minutiae extractor: integrating deep networks and fingerprint domain knowledge. In: 2018 International Conference on Biometrics (ICB), pp. 9\u201316. IEEE (2018)","DOI":"10.1109\/ICB2018.2018.00013"},{"key":"34_CR18","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1007\/978-981-10-2107-7_11","volume-title":"Proceedings of International Conference on Computer Vision and Image Processing","author":"AT Rao","year":"2017","unstructured":"Rao, A.T., Ramaiah, N.P., Mohan, C.K.: Palmprint recognition based on minutiae quadruplets. In: Raman, B., Kumar, S., Roy, P.P., Sen, D. (eds.) Proceedings of International Conference on Computer Vision and Image Processing. AISC, vol. 460, pp. 117\u2013126. Springer, Singapore (2017). https:\/\/doi.org\/10.1007\/978-981-10-2107-7_11"},{"key":"34_CR19","doi-asserted-by":"crossref","unstructured":"Sankaran, A., Pandey, P., Vatsa, M., Singh, R.: On latent fingerprint minutiae extraction using stacked denoising sparse autoencoders. In: IEEE International Joint Conference on Biometrics, pp. 1\u20137. IEEE (2014)","DOI":"10.1109\/BTAS.2014.6996300"},{"key":"34_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/978-3-319-67558-9_28","volume-title":"Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support","author":"CH Sudre","year":"2017","unstructured":"Sudre, C.H., Li, W., Vercauteren, T., Ourselin, S., Jorge Cardoso, M.: Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations. In: Cardoso, M.J., et al. (eds.) DLMIA\/ML-CDS -2017. LNCS, vol. 10553, pp. 240\u2013248. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-67558-9_28"},{"key":"34_CR21","doi-asserted-by":"crossref","unstructured":"Tan, Z., Yang, J., Shang, Z., Shi, G., Chang, S.: Minutiae-based offline palmprint identification system. In: 2009 WRI Global Congress on Intelligent Systems, vol. 4, pp. 466\u2013471. IEEE (2009)","DOI":"10.1109\/GCIS.2009.431"},{"key":"34_CR22","doi-asserted-by":"crossref","unstructured":"Tang, Y., Gao, F., Feng, J.: Latent fingerprint minutia extraction using fully convolutional network. In: 2017 IEEE International Joint Conference on Biometrics (IJCB), pp. 117\u2013123. IEEE (2017)","DOI":"10.1109\/BTAS.2017.8272689"},{"key":"34_CR23","doi-asserted-by":"crossref","unstructured":"Tang, Y., Gao, F., Feng, J., Liu, Y.: FingerNet: an unified deep network for fingerprint minutiae extraction. In: 2017 IEEE International Joint Conference on Biometrics (IJCB), pp. 108\u2013116. IEEE (2017)","DOI":"10.1109\/BTAS.2017.8272688"},{"key":"34_CR24","unstructured":"Va\u017ean, R.: Source AFIS SDK (2014)"},{"key":"34_CR25","unstructured":"Verifinger. Neuro-technology (2010)"},{"key":"34_CR26","doi-asserted-by":"crossref","unstructured":"Wang, R., Ramos, D., Fierrez, J.: Latent-to-full palmprint comparison based on radial triangulation under forensic conditions. In: 2011 International Joint Conference on Biometrics (IJCB), pp. 1\u20136. IEEE (2011)","DOI":"10.1109\/IJCB.2011.6117546"},{"key":"34_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107273","volume":"103","author":"B Zhou","year":"2020","unstructured":"Zhou, B., Han, C., Liu, Y., Guo, T., Qin, J.: Fast minutiae extractor using neural network. Pattern Recogn. 103, 107273 (2020)","journal-title":"Pattern Recogn."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-02375-0_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,24]],"date-time":"2024-09-24T06:57:28Z","timestamp":1727161048000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-02375-0_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031023743","9783031023750"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-02375-0_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju Island","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 November 2021","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":"acpr2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.acpr2021.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"154","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":"85","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":"55% - 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":"4","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)"}}]}}