{"id":"https://openalex.org/W2128856274","doi":"https://doi.org/10.1109/btas.2010.5634483","title":"On separating overlapped fingerprints","display_name":"On separating overlapped fingerprints","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2128856274","doi":"https://doi.org/10.1109/btas.2010.5634483","mag":"2128856274"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2010.5634483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","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/A5101523298","display_name":"Fanglin Chen","orcid":"https://orcid.org/0000-0002-9193-5412"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fanglin Chen","raw_affiliation_strings":["Department of Automation, Tsinghua National Laboratory for Information Science and Technology, China","State Key Laboratory on Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua National Laboratory for Information Science and Technology, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084679040","display_name":"Jianjiang Feng","orcid":"https://orcid.org/0000-0003-4971-6707"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjiang Feng","raw_affiliation_strings":["Department of Automation, Tsinghua National Laboratory for Information Science and Technology, China","State Key Laboratory on Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua National Laboratory for Information Science and Technology, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620306","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0001-7701-234X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Automation, Tsinghua National Laboratory for Information Science and Technology, China","State Key Laboratory on Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua National Laboratory for Information Science and Technology, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"State Key Laboratory on Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101523298"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.6743,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70833874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"99","issue":null,"first_page":"1","last_page":"6"},"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9886999726295471,"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/fingerprint","display_name":"Fingerprint (computing)","score":0.8296078443527222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7275374531745911},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7023061513900757},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6445810794830322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641814649105072},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.640296995639801},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4377235174179077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2634013593196869}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8296078443527222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7275374531745911},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7023061513900757},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6445810794830322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641814649105072},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.640296995639801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4377235174179077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2634013593196869},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/btas.2010.5634483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2010.5634483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1564419782","https://openalex.org/W1601173514","https://openalex.org/W1639795441","https://openalex.org/W1861587112","https://openalex.org/W1972759677","https://openalex.org/W1979622972","https://openalex.org/W2006500012","https://openalex.org/W2008405632","https://openalex.org/W2011999296","https://openalex.org/W2046858497","https://openalex.org/W2055227858","https://openalex.org/W2087770049","https://openalex.org/W2095773423","https://openalex.org/W2123649031","https://openalex.org/W2127717018","https://openalex.org/W2129245324","https://openalex.org/W2133719507","https://openalex.org/W2147714594","https://openalex.org/W2148082513","https://openalex.org/W2162959586","https://openalex.org/W2166978661","https://openalex.org/W2359360738","https://openalex.org/W2366390916","https://openalex.org/W4230579564","https://openalex.org/W6679405091"],"related_works":["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","https://openalex.org/W2148654711","https://openalex.org/W2608025327"],"abstract_inverted_index":{"Fingerprint":[0],"images":[1],"generally":[2],"either":[3],"contain":[4],"only":[5],"a":[6,10,55,80,180],"single":[7],"fingerprint":[8,26,50,60,159],"or":[9,44,91],"set":[11],"of":[12,130,183],"non-overlapped":[13],"fingerprints":[14,38,46,53,72,88,152],"(e.g.,":[15],"slap":[16],"fingerprints).":[17],"However,":[18],"there":[19],"are":[20,33,39,47,66,153],"situations":[21,32],"where":[22],"more":[23],"than":[24],"one":[25,129],"overlap":[27],"on":[28,49,134],"each":[29,115,125],"other.":[30],"Such":[31],"frequently":[34],"encountered":[35],"when":[36],"latent":[37],"lifted":[40],"from":[41],"crime":[42],"scenes":[43],"residue":[45],"left":[48],"sensors.":[51],"Overlapped":[52],"constitute":[54],"serious":[56],"challenge":[57],"to":[58,85,100,123,164,179],"existing":[59],"recognition":[61],"techniques,":[62],"since":[63],"these":[64,165],"techniques":[65],"designed":[67],"under":[68],"the":[69,135,140,150,157,176],"assumption":[70],"that":[71,175],"have":[73],"been":[74],"properly":[75],"segmented.":[76],"In":[77],"this":[78],"paper,":[79],"novel":[81],"algorithm":[82,177],"is":[83,121],"proposed":[84],"separate":[86,139],"overlapped":[87,104,142,158,184],"into":[89,145],"component":[90,167],"individual":[92],"fingerprints.":[93,185],"We":[94],"first":[95],"use":[96],"local":[97],"Fourier":[98],"transform":[99],"estimate":[101],"an":[102],"initial":[103,141],"orientation":[105,127,143,147,169],"field,":[106],"which":[107],"contains":[108],"at":[109,114],"most":[110],"two":[111,131,146,151,166],"candidate":[112,126],"orientations":[113],"location.":[116],"Then":[117],"relaxation":[118],"labeling":[119,136],"technique":[120],"employed":[122],"label":[124],"as":[128],"classes.":[132],"Based":[133],"result,":[137],"we":[138],"field":[144],"fields.":[148],"Finally,":[149],"obtained":[154],"by":[155],"enhancing":[156],"using":[160],"Gabor":[161],"filters":[162],"tuned":[163],"separated":[168],"fields,":[170],"respectively.":[171],"Experimental":[172],"results":[173],"indicate":[174],"leads":[178],"good":[181],"separation":[182]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
