{"id":"https://openalex.org/W2805024946","doi":"https://doi.org/10.1109/atsip.2018.8364525","title":"Contrast enhancement and feature extraction algorithms of finger knucle print image for personal recognition","display_name":"Contrast enhancement and feature extraction algorithms of finger knucle print image for personal recognition","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2805024946","doi":"https://doi.org/10.1109/atsip.2018.8364525","mag":"2805024946"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2018.8364525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076108078","display_name":"Sarra Hajri","orcid":null},"institutions":[{"id":"https://openalex.org/I68916915","display_name":"University of Gab\u00e8s","ror":"https://ror.org/022efad20","country_code":"TN","type":"education","lineage":["https://openalex.org/I68916915"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Sarra Hajri","raw_affiliation_strings":["Department of electrical Engineering, University of Gabes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of electrical Engineering, University of Gabes","institution_ids":["https://openalex.org/I68916915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001360263","display_name":"Fathi Kallel","orcid":"https://orcid.org/0000-0001-7986-8395"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Fathi Kallel","raw_affiliation_strings":["Department of electrical Engineering, University of Sfax"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of electrical Engineering, University of Sfax","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031967892","display_name":"Ahmed Ben Hamida","orcid":"https://orcid.org/0000-0001-6713-7384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ahmed Ben Hamida","raw_affiliation_strings":["Department of electrical Engineering, University of Sfax"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of electrical Engineering, University of Sfax","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"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":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","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"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9395999908447266,"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/computer-science","display_name":"Computer science","score":0.7067283391952515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6764603853225708},{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.6494405269622803},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6329475045204163},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.5994993448257446},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5886203646659851},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5518742203712463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5452152490615845},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.5122898817062378},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4874253571033478},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47928208112716675},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4780195951461792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3759140968322754},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.13864651322364807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067283391952515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6764603853225708},{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.6494405269622803},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6329475045204163},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5994993448257446},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5886203646659851},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5518742203712463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5452152490615845},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.5122898817062378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4874253571033478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47928208112716675},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4780195951461792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3759140968322754},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.13864651322364807},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2018.8364525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2018.8364525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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":19,"referenced_works":["https://openalex.org/W1549042438","https://openalex.org/W1873533840","https://openalex.org/W1974821667","https://openalex.org/W1974900975","https://openalex.org/W2002877667","https://openalex.org/W2017235410","https://openalex.org/W2033338055","https://openalex.org/W2061763015","https://openalex.org/W2094185466","https://openalex.org/W2099131976","https://openalex.org/W2130909321","https://openalex.org/W2133693315","https://openalex.org/W2248940576","https://openalex.org/W2299175749","https://openalex.org/W2323064699","https://openalex.org/W2561491196","https://openalex.org/W2734277190","https://openalex.org/W4230579564","https://openalex.org/W6651272408"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W2181573213","https://openalex.org/W2024449420","https://openalex.org/W2398368608","https://openalex.org/W1990492110","https://openalex.org/W1583737874","https://openalex.org/W2122866860","https://openalex.org/W2903465195","https://openalex.org/W2380937280"],"abstract_inverted_index":{"The":[0],"Finger-Knuckle-Print":[1],"(FKP)":[2],"which":[3],"is":[4,10,43,57],"defined":[5],"with":[6,79],"its":[7],"rich":[8],"texture":[9],"becoming":[11],"a":[12,23,54],"new":[13,24,55],"challenge":[14],"to":[15,45,59,83,91],"identify":[16],"persons.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21],"propose":[22],"algorithm":[25,36,56,72],"for":[26],"personal":[27],"recognition":[28],"including":[29],"two":[30],"main":[31],"steps.":[32],"Firstly,":[33],"an":[34,80],"enhancement":[35],"based":[37],"on":[38],"Adaptive":[39],"Histogram":[40],"Equalization":[41],"(AHE)":[42],"considered":[44],"improve":[46],"the":[47],"contrast":[48],"of":[49],"input":[50],"FKP":[51,64],"images.":[52],"Secondly,":[53],"proposed":[58,71],"extract":[60],"minutiae":[61],"from":[62,89],"enhanced":[63],"image.":[65],"Simulation":[66],"results":[67],"showed":[68],"that":[69],"our":[70],"performs":[73],"better":[74],"than":[75],"others":[76],"existing":[77],"methods":[78],"FAR":[81],"close":[82],"0%":[84],"and":[85],"FRR":[86],"values":[87],"ranging":[88],"87.5%":[90],"100%.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}