{"id":"https://openalex.org/W2147496928","doi":"https://doi.org/10.1109/icmi.2002.1167027","title":"Fingerprint classification by directional fields","display_name":"Fingerprint classification by directional fields","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W2147496928","doi":"https://doi.org/10.1109/icmi.2002.1167027","mag":"2147496928"},"language":"en","primary_location":{"id":"doi:10.1109/icmi.2002.1167027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmi.2002.1167027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. Fourth IEEE International Conference on Multimodal Interfaces","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/A5100350745","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0002-5414-8276"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Wang","raw_affiliation_strings":["Chinese Academy of Sciences, National Laboratory of Pattern Recognition Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, National Laboratory of Pattern Recognition Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654547","display_name":"Wei Wei Zhang","orcid":"https://orcid.org/0000-0001-5316-9721"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, National Laboratory of Pattern Recognition Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, National Laboratory of Pattern Recognition Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025685083","display_name":"Yang Sheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Sheng Wang","raw_affiliation_strings":["Chinese Academy of Sciences, National Laboratory of Pattern Recognition Institute of Automation, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, National Laboratory of Pattern Recognition Institute of Automation, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100350745"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":3.2212,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.93165019,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"399"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9645000100135803,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8456728458404541},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6828513741493225},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6569764018058777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.653445303440094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6292534470558167},{"id":"https://openalex.org/keywords/whorl","display_name":"Whorl (mollusc)","score":0.561999499797821},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.513999879360199},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4621065557003021},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.45250025391578674},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4207915663719177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26037752628326416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11743131279945374},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05533364415168762}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8456728458404541},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6828513741493225},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6569764018058777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.653445303440094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6292534470558167},{"id":"https://openalex.org/C6702695","wikidata":"https://www.wikidata.org/wiki/Q7997649","display_name":"Whorl (mollusc)","level":3,"score":0.561999499797821},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.513999879360199},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4621065557003021},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45250025391578674},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4207915663719177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26037752628326416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11743131279945374},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05533364415168762},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C157369684","wikidata":"https://www.wikidata.org/wiki/Q34740","display_name":"Genus","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmi.2002.1167027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmi.2002.1167027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. Fourth IEEE International Conference on Multimodal Interfaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1497286775","https://openalex.org/W2014470493","https://openalex.org/W2117995429","https://openalex.org/W2124874699","https://openalex.org/W2127717018","https://openalex.org/W2142481374","https://openalex.org/W2145568986","https://openalex.org/W2171351640","https://openalex.org/W2343726395","https://openalex.org/W4248506240","https://openalex.org/W6680501169","https://openalex.org/W6685063398"],"related_works":["https://openalex.org/W4324032891","https://openalex.org/W1507846481","https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328"],"abstract_inverted_index":{"Fingerprint":[0],"classification":[1,19,40,101,109],"provides":[2],"an":[3,23],"important":[4],"fingerprint":[5,10,32,39,53,68,84,100],"index":[6,25],"and":[7,55,75,81],"can":[8,21],"reduce":[9],"matching":[11],"time":[12,105],"in":[13,99],"a":[14,31,38,96],"large":[15],"database.":[16],"A":[17],"good":[18],"algorithm":[20,41,110],"give":[22],"accurate":[24],"that":[26,42,64],"is":[27,43,85,111],"able":[28],"to":[29,78],"search":[30],"database":[33],"more":[34],"effectively.":[35],"We":[36,48,70],"present":[37],"based":[44],"on":[45],"directional":[46,50],"fields.":[47],"compute":[49],"fields":[51],"of":[52],"images":[54],"detect":[56],"singular":[57],"points":[58],"(cores).":[59],"Then,":[60],"we":[61,65],"extract":[62],"features":[63,80],"define":[66],"from":[67],"images.":[69],"also":[71],"use":[72],"k-means":[73],"classifier":[74],"3-nearest":[76],"neighbor":[77],"classify":[79],"distinguish":[82],"which":[83],"Arch,":[86],"Left":[87],"Loop,":[88,90],"Right":[89],"or":[91],"Whorl.":[92],"Experimental":[93],"results":[94],"show":[95],"significant":[97],"improvement":[98],"performance.":[102],"Moreover,":[103],"the":[104,108],"required":[106],"for":[107],"reduced.":[112]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
