{"id":"https://openalex.org/W1535977859","doi":"https://doi.org/10.1109/iwbf.2015.7110237","title":"Performance evaluation of fingerprint orientation field reconstruction methods","display_name":"Performance evaluation of fingerprint orientation field reconstruction methods","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W1535977859","doi":"https://doi.org/10.1109/iwbf.2015.7110237","mag":"1535977859"},"language":"en","primary_location":{"id":"doi:10.1109/iwbf.2015.7110237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2015.7110237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd International Workshop on Biometrics and Forensics (IWBF 2015)","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/A5060563388","display_name":"Lars Oehlmann","orcid":null},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lars Oehlmann","raw_affiliation_strings":["Institute for Mathematical Stochastics University of G\u00f6ttingen, G\u00f6ttingen, Germany","Institute for Mathematical Stochastics, University of G\u00f6ttingen, Goldschmidtstr. 7, 37077, G\u00f6ttingen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Stochastics University of G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen, Goldschmidtstr. 7, 37077, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019677811","display_name":"Stephan Huckemann","orcid":null},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Huckemann","raw_affiliation_strings":["Institute for Mathematical Stochastics University of G\u00f6ttingen, G\u00f6ttingen, Germany","Institute for Mathematical Stochastics, University of G\u00f6ttingen, Goldschmidtstr. 7, 37077, G\u00f6ttingen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Stochastics University of G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen, Goldschmidtstr. 7, 37077, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015823290","display_name":"Carsten Gottschlich","orcid":"https://orcid.org/0000-0002-4118-012X"},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Gottschlich","raw_affiliation_strings":["Institute for Mathematical Stochastics University of G\u00f6ttingen, G\u00f6ttingen, Germany","Institute for Mathematical Stochastics, University of G\u00f6ttingen, Goldschmidtstr. 7, 37077, G\u00f6ttingen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Stochastics University of G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen, Goldschmidtstr. 7, 37077, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060563388"],"corresponding_institution_ids":["https://openalex.org/I74656192"],"apc_list":null,"apc_paid":null,"fwci":1.1487,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77424057,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9710999727249146,"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":0.9605000019073486,"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/minutiae","display_name":"Minutiae","score":0.8680202960968018},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8194251656532288},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7834873795509338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7520294189453125},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.7210146188735962},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6910665035247803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6407116055488586},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6108570694923401},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5764966011047363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5683830380439758},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5465505123138428},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48170405626296997},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4748780131340027},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4240802824497223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1208736002445221}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.8680202960968018},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8194251656532288},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7834873795509338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7520294189453125},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.7210146188735962},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6910665035247803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6407116055488586},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6108570694923401},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5764966011047363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5683830380439758},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5465505123138428},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48170405626296997},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4748780131340027},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4240802824497223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1208736002445221},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbf.2015.7110237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2015.7110237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd International Workshop on Biometrics and Forensics (IWBF 2015)","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":18,"referenced_works":["https://openalex.org/W1556399021","https://openalex.org/W1879832876","https://openalex.org/W1978825252","https://openalex.org/W2005399687","https://openalex.org/W2019919182","https://openalex.org/W2033659496","https://openalex.org/W2037502770","https://openalex.org/W2059820716","https://openalex.org/W2095422257","https://openalex.org/W2112992978","https://openalex.org/W2126472513","https://openalex.org/W2135343815","https://openalex.org/W2138146874","https://openalex.org/W2146112636","https://openalex.org/W2170974086","https://openalex.org/W3099198021","https://openalex.org/W4238949888","https://openalex.org/W6633428282"],"related_works":["https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2087945608","https://openalex.org/W2122988758","https://openalex.org/W2126450185","https://openalex.org/W3169072271","https://openalex.org/W3037288134","https://openalex.org/W2082047178","https://openalex.org/W2136721862","https://openalex.org/W1981872252"],"abstract_inverted_index":{"Orientation":[0],"fields":[1],"(OFs)":[2],"are":[3,12,29],"a":[4,13,37,45,59,77,92,103],"key":[5],"element":[6],"of":[7,44,62,91,112,123,131],"fingerprint":[8,32,38,73],"recognition":[9,89],"systems.":[10],"They":[11],"requirement":[14],"for":[15,72,79,83],"important":[16],"processing":[17],"steps":[18],"such":[19],"as":[20,76,126,128],"image":[21],"enhancement":[22],"by":[23],"contextual":[24],"filtering,":[25],"and":[26,81],"typically,":[27],"they":[28],"estimated":[30],"from":[31,54,99],"images.":[33],"If":[34],"information":[35],"about":[36],"is":[39,115],"available":[40],"only":[41],"in":[42,129],"form":[43],"stored":[46],"minutiae":[47],"template,":[48],"an":[49],"OF":[50,66],"can":[51,67],"be":[52,69],"reconstructed":[53,65],"this":[55],"template":[56],"up":[57],"to":[58],"certain":[60],"degree":[61],"accuracy.":[63],"The":[64,110],"then":[68],"used":[70],"e.g.":[71],"alignment":[74],"or":[75,86],"feature":[78],"matching,":[80],"thus,":[82],"improving":[84],"directly":[85],"indirectly":[87],"the":[88,100,121],"performance":[90,111],"system.":[93],"This":[94],"study":[95],"compares":[96],"reconstruction":[97,124],"methods":[98,114],"literature":[101],"on":[102],"benchmark":[104],"with":[105],"ground":[106],"truth":[107],"orientation":[108],"fields.":[109],"these":[113],"evaluated":[116],"using":[117],"three":[118],"metrics":[119],"measuring":[120],"amount":[122],"errors":[125],"well":[127],"terms":[130],"computational":[132],"runtime.":[133]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}