{"id":"https://openalex.org/W3182678418","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533528","title":"Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints","display_name":"Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3182678418","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533528","mag":"3182678418"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2107.01248","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028172381","display_name":"Indu Joshi","orcid":"https://orcid.org/0000-0002-2755-9416"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Indu Joshi","raw_affiliation_strings":["IIT Delhi, India","Indian institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019729967","display_name":"Ayush Utkarsh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ayush Utkarsh","raw_affiliation_strings":["Independent Researcher, India","Independent Researcher,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher, India","institution_ids":[]},{"raw_affiliation_string":"Independent Researcher,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054814277","display_name":"Riya Kothari","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Riya Kothari","raw_affiliation_strings":["USC, USA","University  of Southern California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC, USA","institution_ids":[]},{"raw_affiliation_string":"University  of Southern California","institution_ids":["https://openalex.org/I1174212","https://openalex.org/I2800817003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082361685","display_name":"Vinod K Kurmi","orcid":"https://orcid.org/0000-0003-0332-5647"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinod K Kurmi","raw_affiliation_strings":["IIT Kanpur, India","Indian Institute of Technology Kanpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Kanpur, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Indian Institute of Technology Kanpur","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084047603","display_name":"Antitza Dantcheva","orcid":"https://orcid.org/0000-0003-0107-7029"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antitza Dantcheva","raw_affiliation_strings":["Inria Sophia Antipolis, France","French Institute for Research in Computer Science and Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Sophia Antipolis, France","institution_ids":[]},{"raw_affiliation_string":"French Institute for Research in Computer Science and Automation","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054273103","display_name":"Sumantra Dutta Roy","orcid":"https://orcid.org/0000-0002-2141-5067"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sumantra Dutta Roy","raw_affiliation_strings":["IIT Delhi, India","Indian institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057869785","display_name":"Prem Kalra","orcid":"https://orcid.org/0000-0002-8740-2461"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prem Kumar Kalra","raw_affiliation_strings":["IIT Delhi, India","Indian institute of Technology Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Indian institute of Technology Delhi","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"8"},"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":0.9879000186920166,"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":0.979200005531311,"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":0.8609753847122192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7642571926116943},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7332472801208496},{"id":"https://openalex.org/keywords/fingerprint-verification-competition","display_name":"Fingerprint Verification Competition","score":0.6745052337646484},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.667683482170105},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.6415736675262451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6268336176872253},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5756413340568542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4771506190299988},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.44262734055519104},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4271325469017029},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.409789502620697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3626753091812134},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2883608341217041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13789814710617065},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12826821208000183}],"concepts":[{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.8609753847122192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642571926116943},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7332472801208496},{"id":"https://openalex.org/C164995936","wikidata":"https://www.wikidata.org/wiki/Q5450283","display_name":"Fingerprint Verification Competition","level":4,"score":0.6745052337646484},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.667683482170105},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.6415736675262451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6268336176872253},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5756413340568542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4771506190299988},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.44262734055519104},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4271325469017029},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.409789502620697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3626753091812134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2883608341217041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13789814710617065},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12826821208000183},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2107.01248","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.01248","pdf_url":"https://arxiv.org/pdf/2107.01248","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3182678418","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2107.01248.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-03524646v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03524646","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IJCNN 2021 - International Joint Conference on Neural Networks, Jul 2021, Shenzhen (online), China. ⟨10.1109/IJCNN52387.2021.9533528⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2107.01248","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2107.01248","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2107.01248","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2107.01248","pdf_url":"https://arxiv.org/pdf/2107.01248","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2034684627","display_name":"Reliable, secure and privacy preserving multi-biometric person authentication","funder_award_id":"ANR-18-CE92-0024","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W58721458","https://openalex.org/W183307084","https://openalex.org/W1542412379","https://openalex.org/W1853627316","https://openalex.org/W1963765109","https://openalex.org/W1966004809","https://openalex.org/W1973425358","https://openalex.org/W1987869189","https://openalex.org/W2005624859","https://openalex.org/W2019919182","https://openalex.org/W2058534963","https://openalex.org/W2062251343","https://openalex.org/W2066062833","https://openalex.org/W2092226222","https://openalex.org/W2096589238","https://openalex.org/W2126472513","https://openalex.org/W2127717018","https://openalex.org/W2131461205","https://openalex.org/W2137441863","https://openalex.org/W2160367574","https://openalex.org/W2185678187","https://openalex.org/W2265648421","https://openalex.org/W2289113327","https://openalex.org/W2308071406","https://openalex.org/W2462906003","https://openalex.org/W2531327146","https://openalex.org/W2577422798","https://openalex.org/W2577570095","https://openalex.org/W2592505114","https://openalex.org/W2736581442","https://openalex.org/W2748806792","https://openalex.org/W2922019699","https://openalex.org/W2922182403","https://openalex.org/W2948959975","https://openalex.org/W2963238274","https://openalex.org/W2963956348","https://openalex.org/W2964059111","https://openalex.org/W2965563166","https://openalex.org/W2970693987","https://openalex.org/W2978459457","https://openalex.org/W2982182858","https://openalex.org/W2999545200","https://openalex.org/W3006525114","https://openalex.org/W3037158619","https://openalex.org/W3046605870","https://openalex.org/W3103617649","https://openalex.org/W3118830059","https://openalex.org/W3149847987","https://openalex.org/W3200157976","https://openalex.org/W6607440253","https://openalex.org/W6617145748","https://openalex.org/W6698240980","https://openalex.org/W6718836005","https://openalex.org/W6728622933","https://openalex.org/W6730042731","https://openalex.org/W6733901433","https://openalex.org/W6764588566","https://openalex.org/W6788458495","https://openalex.org/W6793284843","https://openalex.org/W6799015618"],"related_works":["https://openalex.org/W3200842935","https://openalex.org/W2920239826","https://openalex.org/W134829411","https://openalex.org/W3006525114","https://openalex.org/W1997372142","https://openalex.org/W2999545200","https://openalex.org/W2602927012","https://openalex.org/W2225158525","https://openalex.org/W1964207803","https://openalex.org/W2132423488","https://openalex.org/W3177706865","https://openalex.org/W2292987876","https://openalex.org/W2954480959","https://openalex.org/W2588816925","https://openalex.org/W2187088293","https://openalex.org/W2035341923","https://openalex.org/W2308806350","https://openalex.org/W2966331359","https://openalex.org/W2129631732","https://openalex.org/W2890227554"],"abstract_inverted_index":{"The":[0,118],"effectiveness":[1,157],"of":[2,17,67,158],"fingerprint-based":[3],"authentication":[4],"systems":[5,21],"on":[6,22,96,141],"good":[7],"quality":[8,26],"fingerprints":[9,27],"is":[10,28],"established":[11],"long":[12],"back.":[13],"However,":[14],"the":[15,42,52,70,77,82,114,124,135,159],"performance":[16,95],"standard":[18],"fingerprint":[19,44,57,88,100,116,145,153],"matching":[20],"noisy":[23,97,111],"and":[24,55,62,89,98,151],"poor":[25,63],"far":[29],"from":[30],"satisfactory.":[31],"Towards":[32],"this,":[33],"we":[34],"propose":[35],"a":[36,85,105],"data":[37],"uncertainty-based":[38],"framework":[39],"which":[40,109],"enables":[41,123],"state-of-the-art":[43],"pre-processing":[45],"models":[46],"to":[47,81,92,126,131],"quantify":[48],"noise":[49,61,68,83,106,120,132],"present":[50,133],"in":[51,84,113,134],"input":[53,87,115,136],"image":[54],"identify":[56],"regions":[58],"with":[59],"background":[60],"ridge":[64],"clarity.":[65],"Quantification":[66],"helps":[69,91],"model":[71],"two":[72,152],"folds:":[73],"firstly,":[74],"it":[75,103],"makes":[76],"objective":[78],"function":[79],"adaptive":[80],"particular":[86],"consequently,":[90],"achieve":[93],"robust":[94],"distorted":[99],"regions.":[101],"Secondly,":[102],"provides":[104],"variance":[107,121],"map":[108,122],"indicates":[110],"pixels":[112],"image.":[117,137],"predicted":[119],"end-users":[125],"understand":[127],"erroneous":[128],"predictions":[129],"due":[130],"Extensive":[138],"experimental":[139],"evaluation":[140],"13":[142],"publicly":[143],"available":[144],"databases,":[146],"across":[147],"different":[148],"architectural":[149],"choices":[150],"processing":[154],"tasks":[155],"demonstrate":[156],"proposed":[160],"framework.":[161]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}