{"id":"https://openalex.org/W2970489881","doi":"https://doi.org/10.1109/icip.2019.8803135","title":"Building an Active Palmprint Recognition System","display_name":"Building an Active Palmprint Recognition System","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970489881","doi":"https://doi.org/10.1109/icip.2019.8803135","mag":"2970489881"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5001001983","display_name":"Xuefeng Du","orcid":"https://orcid.org/0000-0002-8080-7861"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Du","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020071899","display_name":"Dexing Zhong","orcid":"https://orcid.org/0000-0002-6806-6300"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexing Zhong","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062833517","display_name":"Huikai Shao","orcid":"https://orcid.org/0000-0001-9970-1576"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huikai Shao","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3338,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.55846369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1685","last_page":"1689"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9941999912261963,"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/T10057","display_name":"Face and Expression Recognition","score":0.9904000163078308,"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/computer-science","display_name":"Computer science","score":0.8439072370529175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7130590677261353},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6687874794006348},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5941656827926636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5321473479270935},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5170905590057373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5134716629981995},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4985795021057129},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.49103212356567383},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.4526004195213318},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4463886618614197},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4152945876121521},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11029666662216187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439072370529175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7130590677261353},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6687874794006348},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5941656827926636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5321473479270935},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5170905590057373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5134716629981995},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4985795021057129},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.49103212356567383},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.4526004195213318},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4463886618614197},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4152945876121521},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11029666662216187},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1710476689","https://openalex.org/W1882958252","https://openalex.org/W1974900975","https://openalex.org/W2104094955","https://openalex.org/W2144025519","https://openalex.org/W2150102481","https://openalex.org/W2157760397","https://openalex.org/W2559008206","https://openalex.org/W2564784249","https://openalex.org/W2597787948","https://openalex.org/W2606063865","https://openalex.org/W2774918944","https://openalex.org/W2779857677","https://openalex.org/W2788686132","https://openalex.org/W2886676275","https://openalex.org/W2888620059","https://openalex.org/W2902177267","https://openalex.org/W2951786554","https://openalex.org/W2963826681","https://openalex.org/W2963902936","https://openalex.org/W2964121744","https://openalex.org/W4298289240","https://openalex.org/W6631190155","https://openalex.org/W6637568146","https://openalex.org/W6639480849","https://openalex.org/W6683015512","https://openalex.org/W6731251927","https://openalex.org/W6735374517","https://openalex.org/W6747231328","https://openalex.org/W6748034479","https://openalex.org/W6753910448","https://openalex.org/W6753941989","https://openalex.org/W6756521486"],"related_works":["https://openalex.org/W3025582806","https://openalex.org/W2597787948","https://openalex.org/W2954428433","https://openalex.org/W3196155444","https://openalex.org/W3215867059","https://openalex.org/W3193088696","https://openalex.org/W4366320140","https://openalex.org/W4322008322","https://openalex.org/W3208584567","https://openalex.org/W3150234497"],"abstract_inverted_index":{"Palmprint":[0],"recognition":[1,23,78,133],"allows":[2],"accurate":[3],"identity":[4],"verification":[5],"to":[6,16,52,76,89,110],"build":[7],"a":[8,27,65,104],"security":[9,45],"system.":[10],"Recently,":[11],"researchers":[12],"introduce":[13,84],"deep":[14],"learning":[15,87,102],"this":[17,81],"area":[18],"that":[19],"largely":[20],"improves":[21],"the":[22,54,77,91,100,112,127],"accuracy.":[24],"However,":[25],"as":[26,103],"supervised":[28],"approach,":[29],"its":[30],"performance":[31],"relies":[32],"on":[33,119],"availability":[34],"of":[35],"data":[36],"and":[37,57,108,114],"labels":[38,60],"for":[39,95],"every":[40],"registered":[41],"identity.":[42],"For":[43],"large-scale":[44],"systems,":[46],"after":[47],"image":[48],"acquisition,":[49],"we":[50,83],"need":[51],"check":[53],"whole":[55],"dataset":[56],"manually":[58],"assign":[59],"through":[61],"comparison,":[62],"which":[63],"is":[64],"time-consuming":[66],"task.":[67],"Besides,":[68],"labelling":[69],"some":[70],"redundant":[71],"training":[72],"samples":[73],"contributes":[74],"little":[75],"result.":[79],"In":[80],"paper,":[82],"an":[85],"active":[86,101],"framework":[88],"select":[90],"best":[92],"sample":[93],"set":[94,116],"label":[96],"assignment.":[97],"We":[98],"regard":[99],"binary":[105],"classification":[106],"task":[107],"attempt":[109],"make":[111],"labeled":[113],"unlabeled":[115],"indistinguishable.":[117],"Experiments":[118],"different":[120],"datasets":[121],"demonstrate":[122],"our":[123],"model":[124],"can":[125],"reduce":[126],"annotation":[128],"cost":[129],"while":[130],"achieving":[131],"comparable":[132],"performance.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}