{"id":"https://openalex.org/W1987361806","doi":"https://doi.org/10.1109/ssd.2013.6564001","title":"Supervised Neural Network and minimum distance features between singularities for fingerprint verification","display_name":"Supervised Neural Network and minimum distance features between singularities for fingerprint verification","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W1987361806","doi":"https://doi.org/10.1109/ssd.2013.6564001","mag":"1987361806"},"language":"en","primary_location":{"id":"doi:10.1109/ssd.2013.6564001","doi":"https://doi.org/10.1109/ssd.2013.6564001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2013.6564001","pdf_url":null,"source":{"id":"https://openalex.org/S4363607814","display_name":"International Multi-Conference on Systems, Signals & Devices (SSD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Multi-Conferences on Systems, Signals &amp; Devices 2013 (SSD13)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5038881628","display_name":"Ala Balti","orcid":"https://orcid.org/0000-0002-7926-0491","observed_orcids":["https://orcid.org/0000-0002-7926-0491"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ala Balti","raw_affiliation_strings":["SICISI Unit, High School of Sciences and Techniques of Tunis, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SICISI Unit, High School of Sciences and Techniques of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007949063","display_name":"Mounir Sayadi","orcid":"https://orcid.org/0000-0003-4270-421X","observed_orcids":["https://orcid.org/0000-0003-4270-421X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mounir Sayadi","raw_affiliation_strings":["SICISI Unit, High School of Sciences and Techniques of Tunis, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SICISI Unit, High School of Sciences and Techniques of Tunis, Tunis, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070554293","display_name":"Farhat Fnaiech","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4401200354","display_name":"Laboratoire des technologies innovantes","ror":"https://ror.org/00ry58h45","country_code":"FR","type":"facility","lineage":["https://openalex.org/I4401200354","https://openalex.org/I4647051"]},{"id":"https://openalex.org/I4647051","display_name":"Universit\u00e9 de Picardie Jules Verne","ror":"https://ror.org/01gyxrk03","country_code":"FR","type":"education","lineage":["https://openalex.org/I4647051"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Farhat Fnaiech","raw_affiliation_strings":["Laboratory for Innovation Technologies (LTI-UPRES EA3899), Electrical Power Engineering Group (EESA), University of Picardie Jules Verne, Amiens, France","SICISI Unit, High School of Sciences and Techniques of Tunis, Tunis, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Innovation Technologies (LTI-UPRES EA3899), Electrical Power Engineering Group (EESA), University of Picardie Jules Verne, Amiens, France","institution_ids":["https://openalex.org/I4401200354","https://openalex.org/I4647051"]},{"raw_affiliation_string":"SICISI Unit, High School of Sciences and Techniques of Tunis, Tunis, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6231,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.54975556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.0,"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"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fingerprint-verification","display_name":"fingerprint verification","score":0.875},{"id":"https://openalex.org/keywords/fingerprint-classification","display_name":"fingerprint classification","score":0.9509999752044678},{"id":"https://openalex.org/keywords/nearest-neighbors","display_name":"nearest neighbors","score":0.4259999990463257},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.5709999799728394},{"id":"https://openalex.org/keywords/supervised-neural-networks","display_name":"supervised neural networks","score":0.7229999899864197},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9599999785423279},{"id":"https://openalex.org/keywords/rotation-and-translation-invariance","display_name":"rotation and translation invariance","score":0.8209999799728394},{"id":"https://openalex.org/keywords/feature-discrimination","display_name":"feature discrimination","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7428081631660461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7396191358566284},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.7174826264381409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449437141418457},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5740317106246948},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5662277340888977},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5229468941688538},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48930642008781433},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4582357704639435},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4101285934448242},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.3353206515312195}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd.2013.6564001","doi":"https://doi.org/10.1109/ssd.2013.6564001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd.2013.6564001","pdf_url":null,"source":{"id":"https://openalex.org/S4363607814","display_name":"International Multi-Conference on Systems, Signals & Devices (SSD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th International Multi-Conferences on Systems, Signals &amp; Devices 2013 (SSD13)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W159109083","https://openalex.org/W1597288045","https://openalex.org/W1796430673","https://openalex.org/W1984261871","https://openalex.org/W1990088088","https://openalex.org/W2006284990","https://openalex.org/W2023626880","https://openalex.org/W2089425041","https://openalex.org/W2117114467","https://openalex.org/W2118498934","https://openalex.org/W2127717018","https://openalex.org/W2134180252","https://openalex.org/W2138038637","https://openalex.org/W2147956911","https://openalex.org/W2156017027","https://openalex.org/W4230579564","https://openalex.org/W4248506240"],"related_works":["https://openalex.org/W1977900433","https://openalex.org/W7097808101","https://openalex.org/W4240182617","https://openalex.org/W2100849984","https://openalex.org/W2112896019","https://openalex.org/W4395685008","https://openalex.org/W1538464652","https://openalex.org/W2254658687","https://openalex.org/W3002064471","https://openalex.org/W7096349696"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,32,83,99,126],"concerned":[3],"with":[4,45,85,128],"novel":[5,144],"features":[6,38,114,145,158],"for":[7],"fingerprint":[8,95,153],"classification":[9,120,140,154],"based":[10,50,88,100,141],"on":[11,51,89,101,142],"the":[12,16,29,33,37,46,52,65,73,80,86,90,109,113,119,123,138],"Euclidian":[13],"distance":[14],"between":[15],"center":[17],"point":[18],"and":[19,70,112,146,159],"their":[20],"nearest":[21],"neighbor":[22],"bifurcation":[23,56],"minutia's.":[24,96],"The":[25,76,97],"main":[26],"advantage":[27],"of":[28,36,55,67,79,94,122],"new":[30,62],"method":[31,49,63,82,87],"dimension":[34],"reduction":[35],"vectors":[39],"used":[40,106],"to":[41,107],"characterize":[42],"fingerprint,":[43],"compared":[44,84],"classic":[47],"characterization":[48,77,103],"relative":[53],"position":[54,93],"minutia":[57],"points.":[58],"In":[59],"addition,":[60],"this":[61],"avoids":[64],"problem":[66],"geometric":[68],"rotation":[69],"translation":[71],"over":[72],"acquisition":[74],"phase.":[75],"efficiency":[78],"proposed":[81,124],"spatial":[91],"coordinate":[92],"comparison":[98],"a":[102,143],"criterion,":[104],"usually":[105],"evaluate":[108],"class":[110],"quantification":[111],"discriminating":[115],"ability.":[116],"After":[117],"that,":[118],"accuracy":[121],"approach":[125],"evaluated":[127],"Back":[129],"Propagation":[130],"Neural":[131],"Network":[132],"(BPNN).":[133],"Extensive":[134],"experiments":[135],"prove":[136],"that":[137],"Fingerprint":[139],"BPNN":[147],"classifier":[148],"give":[149],"better":[150],"results":[151],"in":[152],"than":[155],"several":[156],"other":[157],"methods.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}
