{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T10:56:13Z","timestamp":1747738573118,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030866075"},{"type":"electronic","value":"9783030866082"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-86608-2_29","type":"book-chapter","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T05:02:56Z","timestamp":1631163776000},"page":"259-266","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Local Binary Operator Based on Discretization for Finger Vein Recognition"],"prefix":"10.1007","author":[{"given":"Chengcheng","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huimin","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yupeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiye","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruoran","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,8]]},"reference":[{"issue":"5","key":"29_CR1","doi-asserted-by":"publisher","first-page":"974","DOI":"10.18520\/cs\/v113\/i05\/974-977","volume":"113","author":"FA Pujol","year":"2017","unstructured":"Pujol, F.A., Jimeno-Morenilla, A., Sanchez-Romero, J.L.: Face recognition using a hybrid SVM\u2013LBP approach and the Indian movie face database. Curr. Sci. 113(5), 974\u2013977 (2017)","journal-title":"Curr. Sci."},{"key":"29_CR2","unstructured":"Ojala, T., Pietikinen, M., Harwood, D.: Performance evaluation of texture measures with classification based on Kullback discrimination of distributions. In: Proceedings of ICPR (1994)"},{"issue":"12","key":"29_CR3","doi-asserted-by":"publisher","first-page":"11357","DOI":"10.3390\/s111211357","volume":"11","author":"BA Rosdi","year":"2011","unstructured":"Rosdi, B.A., Shing, C.W., Suandi, S.A.: Finger vein recognition using local line binary pattern. Sensors 11(12), 11357\u201311371 (2011)","journal-title":"Sensors"},{"key":"29_CR4","doi-asserted-by":"crossref","unstructured":"Lee, E.C., Jung, H., Kim, D.: New finger biometric method using near infrared imaging. Sensors 11(3), 2319\u20132333 (2011)","DOI":"10.3390\/s110302319"},{"issue":"19","key":"29_CR5","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1049\/el.2012.1841","volume":"48","author":"F Ahmed","year":"2012","unstructured":"Ahmed, F.: Gradient directional pattern: a robust feature descriptor for facial expression recognition. Electron. Lett. 48(19), 1203\u20131204 (2012)","journal-title":"Electron. Lett."},{"key":"29_CR6","doi-asserted-by":"crossref","unstructured":"Mohammad, S.I.: Local gradient pattern - a novel feature representation for facial expression recognition. J. AI Data Min. 2(1), 33\u201338 (2014)","DOI":"10.1016\/j.patrec.2013.10.026"},{"issue":"5","key":"29_CR7","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1109\/LSP.2018.2817176","volume":"25","author":"T Chakraborti","year":"2018","unstructured":"Chakraborti, T., McCane, B., Mills, S., Pal, U.: LOOP descriptor: local optimal-oriented pattern. IEEE Signal Process. Lett. 25(5), 635\u2013639 (2018)","journal-title":"IEEE Signal Process. Lett."},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Ming, Y., Wang, G., Fan, C.: Uniform local binary pattern based texture-edge feature for 3D human behavior recognition. PLoS ONE 10(5), e0124640 (2015)","DOI":"10.1371\/journal.pone.0124640"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Hu, N., Ma H., Zhan, T.: Finger vein biometric verification using block multi-scale uniform local binary pattern features and block two-directional two-dimension principal component analysis. Optik 208(30), 163664 (2018)","DOI":"10.1016\/j.ijleo.2019.163664"},{"key":"29_CR10","unstructured":"Niblack, W.: An introduction to digital image processing. In: Advances in Computer Graphics Vi, Images: Synthesis, Analysis, & Interaction. Prentice-Hall International, Japan (1986)"}],"container-title":["Lecture Notes in Computer Science","Biometric Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86608-2_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T05:09:27Z","timestamp":1631164167000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86608-2_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030866075","9783030866082"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86608-2_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"8 September 2021","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":"Shanghai","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccbr2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.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":"72","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":"53","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":"74% - 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":"2.3","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":"2.1","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)"}},{"value":"Full papers are up to 11 pages long.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}