{"id":"https://openalex.org/W4200029205","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624425","title":"False Cores Reduction Based on Global Features of Fingerprint Orientation Field","display_name":"False Cores Reduction Based on Global Features of Fingerprint Orientation Field","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4200029205","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624425"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei53629.2021.9624425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624425","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5073502039","display_name":"Xueyi Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueyi Ye","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007920031","display_name":"Hepeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hepeng Wang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015409388","display_name":"Rumeng Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rumeng Zou","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040872851","display_name":"Yirui Liu","orcid":"https://orcid.org/0009-0002-5794-9682"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yirui Liu","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072973548","display_name":"Huahua Chen","orcid":"https://orcid.org/0000-0002-4551-2830"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huahua Chen","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101725214","display_name":"Yuzhong Shen","orcid":"https://orcid.org/0000-0002-8384-203X"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuzhong Shen","raw_affiliation_strings":["Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, Norfolk, USA"],"affiliations":[{"raw_affiliation_string":"Department of Modeling, Simulation and Visualization Engineering, Old Dominion University, Norfolk, USA","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073502039"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09603761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T13568","display_name":"Wood and Agarwood Research","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9648000001907349,"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/orientation","display_name":"Orientation (vector space)","score":0.6996798515319824},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6462670564651489},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5879807472229004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.539775550365448},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.516407310962677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5092388391494751},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.496559202671051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48332786560058594},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46810388565063477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4639885425567627},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.447884738445282},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4477805197238922},{"id":"https://openalex.org/keywords/singular-point-of-a-curve","display_name":"Singular point of a curve","score":0.4365575313568115},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4244273602962494},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41701990365982056},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3997763991355896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32967257499694824},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18561699986457825}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6996798515319824},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6462670564651489},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5879807472229004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.539775550365448},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.516407310962677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5092388391494751},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.496559202671051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48332786560058594},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46810388565063477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4639885425567627},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.447884738445282},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4477805197238922},{"id":"https://openalex.org/C200917960","wikidata":"https://www.wikidata.org/wiki/Q3847057","display_name":"Singular point of a curve","level":2,"score":0.4365575313568115},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4244273602962494},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41701990365982056},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3997763991355896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32967257499694824},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18561699986457825},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei53629.2021.9624425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624425","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2990245697","display_name":null,"funder_award_id":"U19B2016","funder_id":"https://openalex.org/F4320321935","funder_display_name":"Hangzhou Dianzi University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321935","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W762522693","https://openalex.org/W1963890991","https://openalex.org/W1964146299","https://openalex.org/W1977834771","https://openalex.org/W2027807910","https://openalex.org/W2171120658","https://openalex.org/W2181953777","https://openalex.org/W2185432770","https://openalex.org/W2265648421","https://openalex.org/W2289200285","https://openalex.org/W2394017989","https://openalex.org/W2573975257","https://openalex.org/W2917870507","https://openalex.org/W2967287182","https://openalex.org/W3103617649","https://openalex.org/W6686052295"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W4362496757","https://openalex.org/W4389371618","https://openalex.org/W2117826006","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711","https://openalex.org/W2608025327","https://openalex.org/W1621827506","https://openalex.org/W289790619"],"abstract_inverted_index":{"Singular":[0],"point":[1],"detection":[2],"is":[3,20,109,135],"a":[4,27,92,112],"primary":[5],"step":[6],"in":[7,98,120,159],"fingerprint":[8,35],"recognition.":[9],"Many":[10],"approaches":[11],"have":[12],"been":[13],"proposed,":[14],"but":[15],"the":[16,56,63,71,75,79,85,88,95,99,102,106,121,128,132,147,160],"positive":[17,149],"error":[18,129,142],"rate":[19,130,143,150],"still":[21],"too":[22],"high.":[23],"This":[24],"paper":[25],"proposes":[26],"new":[28,113],"method":[29,44,134],"based":[30],"on":[31],"global":[32],"information":[33],"of":[34,66,91,105,131,151,162],"orientation":[36,48,96],"field":[37,49,97],"to":[38,78,115],"reduce":[39,117],"false":[40,118,148],"cores.":[41],"The":[42,140],"proposed":[43,133],"first":[45],"estimates":[46],"pixel-level":[47],"and":[50,70,94,146],"extract":[51],"candidate":[52,68,122],"singular":[53],"points":[54],"using":[55],"classic":[57],"nested-Poincare":[58],"index-based":[59],"method.":[60],"Then,":[61],"both":[62],"opening":[64,80,89,107],"direction":[65,77,81,90,104,108],"each":[67],"cores":[69,119,152],"corresponding":[72],"region":[73,100],"along":[74,101],"opposite":[76,103],"are":[82],"calculated.":[83],"Finally,":[84],"angle":[86],"between":[87],"core":[93],"calculated":[110],"as":[111],"feature":[114],"further":[116],"set.":[123],"Experimental":[124],"results":[125],"show":[126],"that":[127],"lower":[136],"than":[137],"traditional":[138],"algorithms.":[139],"total":[141],"decreases":[144,153],"29.5%":[145],"35.1%":[154],"comparing":[155],"with":[156],"NPI-based":[157],"[12]":[158],"database":[161],"FVC2000-DB2a.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
