{"id":"https://openalex.org/W3157920742","doi":"https://doi.org/10.1109/icpr48806.2021.9413188","title":"Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition","display_name":"Jointly Learning Multiple Curvature Descriptor for 3D Palmprint Recognition","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3157920742","doi":"https://doi.org/10.1109/icpr48806.2021.9413188","mag":"3157920742"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9413188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101726684","display_name":"Lunke Fei","orcid":"https://orcid.org/0000-0001-6072-7875"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lunke Fei","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043800136","display_name":"Jianyang Qin","orcid":"https://orcid.org/0000-0003-1444-430X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyang Qin","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346801","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0002-2329-502X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017617923","display_name":"Jie Wen","orcid":"https://orcid.org/0000-0001-9554-2379"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wen","raw_affiliation_strings":["The Bio-Computing Research Center, Harbin Institute of Technology(Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Bio-Computing Research Center, Harbin Institute of Technology(Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010248697","display_name":"Chunwei Tian","orcid":"https://orcid.org/0000-0002-6058-5077"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunwei Tian","raw_affiliation_strings":["The Bio-Computing Research Center, Harbin Institute of Technology(Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Bio-Computing Research Center, Harbin Institute of Technology(Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048088901","display_name":"Bob Zhang","orcid":"https://orcid.org/0000-0003-2497-9519"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bob Zhang","raw_affiliation_strings":["University of Macau, Taipa, Macau, China"],"affiliations":[{"raw_affiliation_string":"University of Macau, Taipa, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006822798","display_name":"Shuping Zhao","orcid":"https://orcid.org/0000-0001-7641-2237"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["University of Macau, Taipa, Macau, China"],"affiliations":[{"raw_affiliation_string":"University of Macau, Taipa, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101726684"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59418526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.792199969291687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7221522927284241},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.7067781686782837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6975652575492859},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6847444772720337},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6562100648880005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6142746806144714},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5066045522689819},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5053251385688782},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.49954843521118164},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.49338021874427795},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43764910101890564},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4181104898452759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4075959026813507},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3564280569553375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11467811465263367}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.792199969291687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7221522927284241},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.7067781686782837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6975652575492859},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6847444772720337},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6562100648880005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6142746806144714},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5066045522689819},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5053251385688782},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.49954843521118164},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.49338021874427795},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43764910101890564},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4181104898452759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4075959026813507},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3564280569553375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11467811465263367},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9413188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9413188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G2362871879","display_name":null,"funder_award_id":"2019A1515011811","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4587334819","display_name":null,"funder_award_id":"2019A1515110582,2019A1515110284","funder_id":"https://openalex.org/F4320333334","funder_display_name":"Guangdong Province Introduction of Innovative R&D Team"},{"id":"https://openalex.org/G470978603","display_name":null,"funder_award_id":"202002030110","funder_id":"https://openalex.org/F4320334898","funder_display_name":"Guangzhou Science and Technology Program key projects"},{"id":"https://openalex.org/G8371058530","display_name":null,"funder_award_id":"61702110,62006059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320333334","display_name":"Guangdong Province Introduction of Innovative R&D Team","ror":null},{"id":"https://openalex.org/F4320334898","display_name":"Guangzhou Science and Technology Program key projects","ror":"https://ror.org/00tjzgn92"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1162253458","https://openalex.org/W1971085184","https://openalex.org/W2002747721","https://openalex.org/W2044195942","https://openalex.org/W2048547948","https://openalex.org/W2053625321","https://openalex.org/W2064711841","https://openalex.org/W2073818536","https://openalex.org/W2099248370","https://openalex.org/W2103339782","https://openalex.org/W2105398299","https://openalex.org/W2116966309","https://openalex.org/W2143628632","https://openalex.org/W2144025519","https://openalex.org/W2161291303","https://openalex.org/W2346392537","https://openalex.org/W2501618299","https://openalex.org/W2569859441","https://openalex.org/W2588729078","https://openalex.org/W2615293002","https://openalex.org/W2620727906","https://openalex.org/W2739951096","https://openalex.org/W2763042386","https://openalex.org/W2789377834","https://openalex.org/W2803937589","https://openalex.org/W2897252867","https://openalex.org/W2901021708","https://openalex.org/W2908401002","https://openalex.org/W2921595296","https://openalex.org/W2946300279","https://openalex.org/W2963652609","https://openalex.org/W2999529733","https://openalex.org/W3080350283","https://openalex.org/W4246042436"],"related_works":["https://openalex.org/W3208297503","https://openalex.org/W156213964","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W1499137908","https://openalex.org/W2786094008","https://openalex.org/W3131501806"],"abstract_inverted_index":{"3D":[0,33,44,64,82,164,183],"palmprint-based":[1],"biometric":[2],"recognition":[3,177],"has":[4],"drawn":[5],"growing":[6],"research":[7],"attention":[8],"due":[9],"to":[10,56,74],"its":[11],"several":[12],"merits":[13],"over":[14],"2D":[15],"counterpart":[16],"such":[17],"as":[18],"robust":[19],"structural":[20],"measurement":[21],"of":[22,81,124,170,176],"a":[23,52,89],"palm":[24],"surface":[25],"and":[26,108,139,155],"high":[27],"anti-counterfeiting":[28],"capability.":[29],"However,":[30],"most":[31],"existing":[32],"palmprint":[34,45,65,83,165,184],"descriptors":[35],"are":[36,115],"hand-crafted":[37],"that":[38,93,113,145],"usually":[39],"extract":[40],"stationary":[41],"features":[42],"from":[43],"images.":[46,84],"In":[47],"this":[48],"paper,":[49],"we":[50,86,118],"propose":[51],"feature":[53,61,90,100,128,153],"learning":[54],"method":[55,148,173],"jointly":[57,87],"learn":[58,88,119],"compact":[59,151],"curvature":[60,71,79,95,127,142],"descriptor":[62],"for":[63],"recognition.":[66],"We":[67],"first":[68],"form":[69],"multiple":[70,126,141],"data":[72,96],"vectors":[73,97],"completely":[75],"sample":[76],"the":[77,104,120,125,132,136,140,146,162,168,171],"intrinsic":[78],"information":[80,133],"Then,":[85],"projection":[91],"function":[92],"project":[94],"into":[98],"binary":[99,122],"codes,":[101],"which":[102],"have":[103],"maximum":[105],"inter-class":[106],"variances":[107],"minimum":[109],"intra-class":[110],"distance":[111],"so":[112,144],"they":[114],"discriminative.":[116],"Moreover,":[117],"collaborative":[121],"representation":[123,138,154],"codes":[129],"by":[130],"minimizing":[131],"loss":[134],"between":[135],"final":[137],"features,":[143],"proposed":[147,172],"is":[149],"more":[150],"in":[152,157,174,179],"efficient":[156],"matching.":[158],"Experimental":[159],"results":[160],"on":[161],"baseline":[163],"database":[166],"demonstrate":[167],"superiority":[169],"terms":[175],"performance":[178],"comparison":[180],"with":[181],"state-of-the-art":[182],"descriptors.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
