{"id":"https://openalex.org/W1912312493","doi":"https://doi.org/10.1109/ispa.2015.7306036","title":"Towards generating realistic synthetic fingerprint images","display_name":"Towards generating realistic synthetic fingerprint images","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W1912312493","doi":"https://doi.org/10.1109/ispa.2015.7306036","mag":"1912312493"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2015.7306036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2015.7306036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5083882425","display_name":"Christina Imdahl","orcid":"https://orcid.org/0000-0003-3181-8879"},"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":"Christina Imdahl","raw_affiliation_strings":["Institute for Mathematical Stochastics, University of G\u00f6ttingen","Institute for Mathematical Stochastics, University of G\u00f6ttingen, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen, Germany#TAB#","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":["Felix-Bernstein-Institute for Mathematical Statistics, Biosciences University of G\u00f6ttingen","Felix-Bernstein-Institute for Mathematical Statistics in the Biosciences, University of G\u00f6ttingen, Germany"],"affiliations":[{"raw_affiliation_string":"Felix-Bernstein-Institute for Mathematical Statistics, Biosciences University of G\u00f6ttingen","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"Felix-Bernstein-Institute for Mathematical Statistics in the Biosciences, University of 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","Institute for Mathematical Stochastics, University of G\u00f6ttingen, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"Institute for Mathematical Stochastics, University of G\u00f6ttingen, Germany#TAB#","institution_ids":["https://openalex.org/I74656192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083882425"],"corresponding_institution_ids":["https://openalex.org/I74656192"],"apc_list":null,"apc_paid":null,"fwci":0.5743,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65850388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"82"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9740999937057495,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.972335934638977},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.8410649299621582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7926771640777588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6525400876998901},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5603548288345337},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5244401097297668},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4566241502761841},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.45107501745224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4279191493988037},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36426571011543274}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.972335934638977},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8410649299621582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7926771640777588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6525400876998901},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5603548288345337},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5244401097297668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4566241502761841},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.45107501745224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4279191493988037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36426571011543274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa.2015.7306036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2015.7306036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320882","display_name":"Volkswagen Foundation","ror":"https://ror.org/03bsmfz84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1515187565","https://openalex.org/W1530436009","https://openalex.org/W1549217488","https://openalex.org/W1834846564","https://openalex.org/W1922619116","https://openalex.org/W2019919182","https://openalex.org/W2023204304","https://openalex.org/W2036540135","https://openalex.org/W2039367092","https://openalex.org/W2050394396","https://openalex.org/W2059820716","https://openalex.org/W2081106695","https://openalex.org/W2095422257","https://openalex.org/W2126472513","https://openalex.org/W2129074184","https://openalex.org/W2135343815","https://openalex.org/W2136806907","https://openalex.org/W2138146874","https://openalex.org/W2143668817","https://openalex.org/W2158718703","https://openalex.org/W2164613142","https://openalex.org/W2167141450","https://openalex.org/W2170974086","https://openalex.org/W3099198021","https://openalex.org/W4230579564","https://openalex.org/W4291236916","https://openalex.org/W4323654118","https://openalex.org/W6632721955","https://openalex.org/W6680198328"],"related_works":["https://openalex.org/W2124627279","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/W1676325688","https://openalex.org/W3037288134","https://openalex.org/W2082047178"],"abstract_inverted_index":{"Synthetic":[0],"fingerprint":[1,40,101],"generation":[2,98],"has":[3,59],"two":[4],"major":[5],"advantages.":[6],"First,":[7],"it":[8,58],"is":[9,147],"possible":[10],"to":[11,77,113,120,160],"create":[12],"arbitrarily":[13],"large":[14],"databases":[15],"for":[16,47,96],"research":[17],"purposes":[18],"e.g.":[19,51],"of":[20,81,129],"a":[21,24,105,109,122,127],"million":[22],"or":[23],"billion":[25],"fingerprints":[26,119,154],"at":[27],"virtually":[28],"no":[29],"cost":[30],"and":[31,136,139],"without":[32],"legal":[33],"constraints.":[34],"Secondly,":[35],"together":[36],"with":[37,70],"the":[38,52,66,78,97,115,144,148],"generated":[39],"images":[41,69],"comes":[42],"additional":[43],"ground":[44],"truth":[45],"information":[46],"free":[48],"such":[49],"as":[50,104],"corresponding":[53],"minutiae":[54,72,163],"template.":[55],"However,":[56],"recently":[57],"been":[60],"shown":[61],"that":[62,143,155],"existing":[63],"methods":[64],"in":[65],"literature":[67],"synthesize":[68],"unrealistic":[71],"configurations,":[73],"usually":[74],"not":[75],"visible":[76],"naked":[79],"eye":[80],"an":[82,89],"expert.":[83],"In":[84],"this":[85,157],"paper,":[86],"we":[87,140],"propose":[88],"algorithm":[90],"called":[91],"Realistic":[92],"Fingerprint":[93],"Creator":[94],"(RFC)":[95],"realistic":[99,162],"synthetic":[100,118],"images,":[102],"which,":[103],"core":[106],"ingredient,":[107],"involves":[108],"selection":[110],"procedure":[111],"how":[112],"choose":[114],"most":[116],"`realistic'":[117],"build":[121],"database.":[123],"We":[124],"have":[125,141],"performed":[126],"test":[128,158],"realness":[130],"comparing":[131],"prints":[132],"synthesized":[133],"by":[134],"RFC":[135,146],"real":[137],"fingerprints,":[138],"observed":[142],"proposed":[145],"first":[149],"method":[150],"which":[151],"produces":[152],"artificial":[153],"pass":[156],"due":[159],"their":[161],"configuration.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}