{"id":"https://openalex.org/W1501535725","doi":"https://doi.org/10.1109/icpr.2002.1048340","title":"Hierarchical kernel fitting for fingerprint classification and alignment","display_name":"Hierarchical kernel fitting for fingerprint classification and alignment","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1501535725","doi":"https://doi.org/10.1109/icpr.2002.1048340","mag":"1501535725"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5100613677","display_name":"Anil K. Jain","orcid":"https://orcid.org/0000-0002-6369-6995"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A.K. Jain","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA#TAB#","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009216150","display_name":"Silviu Minut","orcid":null},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Minut","raw_affiliation_strings":["Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA#TAB#","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100613677"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":3.8518,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.940456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"469","last_page":"473"},"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/T11800","display_name":"User Authentication and Security Systems","score":0.9643999934196472,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.958899974822998,"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/computer-science","display_name":"Computer science","score":0.667552649974823},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6492486000061035},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6459781527519226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6375977396965027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288402080535889},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21819934248924255},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06336167454719543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667552649974823},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6492486000061035},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6459781527519226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6375977396965027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288402080535889},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21819934248924255},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06336167454719543}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1048340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.467.4360","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.4360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hci.iwr.uni-heidelberg.de/publications/dip/2002/ICPR2002/DATA/05_2_38.PDF","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W92913008","https://openalex.org/W149339027","https://openalex.org/W1982793518","https://openalex.org/W2014470493","https://openalex.org/W2024538372","https://openalex.org/W2045870530","https://openalex.org/W2124874699","https://openalex.org/W2150945320","https://openalex.org/W4248506240"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Fingerprint":[0],"classification":[1,50,86,107],"consists":[2],"of":[3,10,14,25,61,80,100,109],"labeling":[4],"a":[5,44,71,106],"fingerprint":[6,26,49,72,128],"impression":[7],"as":[8],"one":[9],"several":[11],"major":[12],"types":[13],"fingerprints:":[15],"arch,":[16],"left":[17],"loop,":[18,20],"right":[19],"whorl,":[21],"etc.":[22],"The":[23,85],"problem":[24],"matching":[27],"amounts":[28],"to":[29],"deciding":[30],"whether":[31],"or":[32],"not":[33],"two":[34],"impressions":[35],"were":[36],"produced":[37],"by":[38,90],"the":[39,54,58,62,78,92,97,101,112,120],"same":[40],"finger.":[41],"We":[42,104,116],"propose":[43],"model":[45],"based":[46],"method":[47],"for":[48,127],"which":[51,76],"only":[52],"uses":[53],"flow":[55,98],"field,":[56],"avoiding":[57],"non-trivial":[59],"computation":[60],"thinned":[63],"ridges":[64],"and":[65],"minutia":[66],"points.":[67],"For":[68],"each":[69],"class,":[70],"kernel":[73,93,121],"is":[74,87],"defined,":[75],"models":[77],"shape":[79],"fingerprints":[81],"in":[82],"that":[83,94],"class.":[84],"then":[88],"achieved":[89],"finding":[91],"best":[95],"fits":[96],"field":[99],"given":[102],"fingerprint.":[103],"obtain":[105],"accuracy":[108],"91.25%":[110],"on":[111],"NIST":[113],"4":[114],"database.":[115],"also":[117],"show":[118],"how":[119],"fitting":[122],"procedure":[123],"can":[124],"be":[125],"used":[126],"alignment.":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}