{"id":"https://openalex.org/W3107129517","doi":"https://doi.org/10.1109/tip.2020.3039895","title":"Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition","display_name":"Learning Complete and Discriminative Direction Pattern for Robust Palmprint Recognition","publication_year":2020,"publication_date":"2020-12-03","ids":{"openalex":"https://openalex.org/W3107129517","doi":"https://doi.org/10.1109/tip.2020.3039895","mag":"3107129517","pmid":"https://pubmed.ncbi.nlm.nih.gov/33270561"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3039895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3039895","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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":true,"raw_author_name":"Shuping Zhao","raw_affiliation_strings":["Pattern Analysis and Machine Intelligence Group, University of Macau, Taipa, Macau"],"raw_orcid":"https://orcid.org/0000-0001-7641-2237","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence Group, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","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":["Pattern Analysis and Machine Intelligence Group, University of Macau, Taipa, Macau"],"raw_orcid":"https://orcid.org/0000-0003-2497-9519","affiliations":[{"raw_affiliation_string":"Pattern Analysis and Machine Intelligence Group, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006822798"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":4.2544,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.95165394,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"1001","last_page":"1014"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9682999849319458,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9649999737739563,"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":0.9403248429298401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.796737015247345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7875127792358398},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7136497497558594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6755238175392151},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5830262303352356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5238012075424194},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4640125036239624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3780952990055084},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.059391409158706665}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9403248429298401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.796737015247345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7875127792358398},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7136497497558594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755238175392151},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5830262303352356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5238012075424194},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4640125036239624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3780952990055084},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.059391409158706665},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":2,"locations":[{"id":"doi:10.1109/tip.2020.3039895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3039895","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:33270561","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33270561","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G3292123670","display_name":null,"funder_award_id":"61602540","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5071687035","display_name":null,"funder_award_id":"MYRG2018-00053-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W36826027","https://openalex.org/W1162253458","https://openalex.org/W1413778154","https://openalex.org/W1616262590","https://openalex.org/W1686810756","https://openalex.org/W1968113673","https://openalex.org/W1969030392","https://openalex.org/W1996232089","https://openalex.org/W2001619934","https://openalex.org/W2004427069","https://openalex.org/W2010954356","https://openalex.org/W2013491563","https://openalex.org/W2035875937","https://openalex.org/W2043080228","https://openalex.org/W2049306082","https://openalex.org/W2068424163","https://openalex.org/W2084496954","https://openalex.org/W2089468765","https://openalex.org/W2103250033","https://openalex.org/W2108119513","https://openalex.org/W2111933206","https://openalex.org/W2114214092","https://openalex.org/W2118091795","https://openalex.org/W2119862467","https://openalex.org/W2125936497","https://openalex.org/W2126386631","https://openalex.org/W2132467081","https://openalex.org/W2135046866","https://openalex.org/W2138695073","https://openalex.org/W2144025519","https://openalex.org/W2159171257","https://openalex.org/W2160776381","https://openalex.org/W2163352848","https://openalex.org/W2518263381","https://openalex.org/W2606063865","https://openalex.org/W2615293002","https://openalex.org/W2764242203","https://openalex.org/W2765666899","https://openalex.org/W2782180745","https://openalex.org/W2789377834","https://openalex.org/W2791459777","https://openalex.org/W2792295220","https://openalex.org/W2794208501","https://openalex.org/W2900928715","https://openalex.org/W2908401002","https://openalex.org/W2921595296","https://openalex.org/W2922191826","https://openalex.org/W2944163992","https://openalex.org/W2946300279","https://openalex.org/W2966656135","https://openalex.org/W2975173965","https://openalex.org/W3003465473","https://openalex.org/W3015245801","https://openalex.org/W3040429391","https://openalex.org/W3080350283","https://openalex.org/W3089427171","https://openalex.org/W3092872579","https://openalex.org/W3102431071","https://openalex.org/W4243097765","https://openalex.org/W6637373629","https://openalex.org/W6675955514","https://openalex.org/W6683721463"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W4388913932","https://openalex.org/W4309130263","https://openalex.org/W3088721469","https://openalex.org/W2138022083"],"abstract_inverted_index":{"Palmprint":[0],"direction":[1,41,89,102,109,167],"patterns":[2,90],"have":[3],"been":[4],"widely":[5],"and":[6,36,87,99,112,133,138,156,165],"successfully":[7],"used":[8],"in":[9,27,91,147],"palmprint":[10,29,66,122,170,176],"recognition":[11,54,76],"methods.":[12],"Most":[13],"existing":[14],"direction-based":[15],"methods":[16],"utilize":[17],"the":[18,23,28,39,53,60,65,75,97,121,141,145,148,153,157,163,186,189],"pre-defined":[19],"filters":[20],"to":[21,58,63,84,130,139],"achieve":[22,140],"genuine":[24],"line":[25,46],"responses":[26,47],"image,":[30],"which":[31,104],"requires":[32],"rich":[33],"prior":[34],"knowledge":[35],"usually":[37],"ignores":[38],"vital":[40],"information.":[42],"In":[43],"addition,":[44],"some":[45],"influenced":[48],"by":[49],"noise":[50],"will":[51],"degrade":[52],"accuracy.":[55],"Furthermore,":[56],"how":[57],"extract":[59,96],"discriminative":[61,88,134,166],"features":[62],"make":[64],"more":[67],"separable":[68],"is":[69],"also":[70],"a":[71,106,113],"dilemma":[72],"for":[73,144,169],"improving":[74],"performance.":[77],"To":[78],"solve":[79],"these":[80],"problems,":[81],"we":[82],"propose":[83],"learn":[85,131],"complete":[86,98,107,164],"this":[92],"study.":[93],"We":[94],"first":[95],"salient":[100,114],"local":[101,108],"patterns,":[103],"contains":[105],"feature":[110,117,168],"(CLDF)":[111],"convolution":[115],"difference":[116],"(SCDF)":[118],"extracted":[119],"from":[120,136],"image.":[123],"Afterwards,":[124],"two":[125],"learning":[126],"models":[127],"are":[128,160],"proposed":[129,190],"sparse":[132],"directions":[135],"CLDF":[137,155],"underlying":[142],"structure":[143],"SCDFs":[146],"training":[149],"samples,":[150],"respectively.":[151],"Lastly,":[152],"projected":[154,158],"SCDF":[159],"concatenated":[161],"forming":[162],"recognition.":[171],"Experimental":[172],"results":[173],"on":[174],"seven":[175],"databases,":[177],"as":[178,180],"well":[179],"three":[181],"noisy":[182],"datasets":[183],"clearly":[184],"demonstrates":[185],"effectiveness":[187],"of":[188],"method.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
