{"id":"https://openalex.org/W2531392528","doi":"https://doi.org/10.1145/2987491.2987512","title":"Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics","display_name":"Extended Feature-Fusion Guidelines to Improve Image-Based Multi-Modal Biometrics","publication_year":2016,"publication_date":"2016-09-26","ids":{"openalex":"https://openalex.org/W2531392528","doi":"https://doi.org/10.1145/2987491.2987512","mag":"2531392528"},"language":"en","primary_location":{"id":"doi:10.1145/2987491.2987512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2987491.2987512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists","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/A5030932880","display_name":"Dane Brown","orcid":"https://orcid.org/0000-0001-7395-7370"},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"funder","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Dane Brown","raw_affiliation_strings":["Council for Scientific and Industrial Research, Information Security, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"Council for Scientific and Industrial Research, Information Security, Pretoria, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072797821","display_name":"Karen Bradshaw","orcid":"https://orcid.org/0000-0003-3979-5675"},"institutions":[{"id":"https://openalex.org/I203238179","display_name":"Rhodes University","ror":"https://ror.org/016sewp10","country_code":"ZA","type":"education","lineage":["https://openalex.org/I203238179"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Karen Bradshaw","raw_affiliation_strings":["Rhodes University, Computer Science Dept., Grahamstown, South Africa"],"affiliations":[{"raw_affiliation_string":"Rhodes University, Computer Science Dept., Grahamstown, South Africa","institution_ids":["https://openalex.org/I203238179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030932880"],"corresponding_institution_ids":["https://openalex.org/I21360634"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54364654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T11448","display_name":"Face recognition and analysis","score":0.9944999814033508,"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/T10057","display_name":"Face and Expression Recognition","score":0.9904999732971191,"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/biometrics","display_name":"Biometrics","score":0.817176878452301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391933798789978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7200750112533569},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6778085827827454},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6430056095123291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6285828351974487},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5211182236671448},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5199500322341919},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5020053386688232},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48825860023498535},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.43772751092910767},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4331282377243042},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.41869205236434937},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41141706705093384},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39564645290374756},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2683470845222473}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.817176878452301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391933798789978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7200750112533569},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6778085827827454},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6430056095123291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6285828351974487},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5211182236671448},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5199500322341919},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5020053386688232},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48825860023498535},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.43772751092910767},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4331282377243042},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.41869205236434937},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41141706705093384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39564645290374756},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2683470845222473},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2987491.2987512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2987491.2987512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists","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":27,"referenced_works":["https://openalex.org/W7650295","https://openalex.org/W15168827","https://openalex.org/W191940071","https://openalex.org/W1569739606","https://openalex.org/W1580963329","https://openalex.org/W1588662772","https://openalex.org/W1639795441","https://openalex.org/W1981446961","https://openalex.org/W1981968236","https://openalex.org/W2005399687","https://openalex.org/W2010846950","https://openalex.org/W2013854328","https://openalex.org/W2036643682","https://openalex.org/W2047825359","https://openalex.org/W2097073572","https://openalex.org/W2103560185","https://openalex.org/W2106208454","https://openalex.org/W2109131581","https://openalex.org/W2121647436","https://openalex.org/W2137441863","https://openalex.org/W2147329325","https://openalex.org/W2149382268","https://openalex.org/W2163808566","https://openalex.org/W2284087573","https://openalex.org/W2561652998","https://openalex.org/W2950238023","https://openalex.org/W3173367485"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4200422973","https://openalex.org/W4233349824"],"abstract_inverted_index":{"The":[0,21,77],"feature-level,":[1],"unlike":[2],"the":[3,26,32,49,53,60,69,89,93,98],"match":[4],"score-level,":[5],"lacks":[6],"multi-modal":[7],"fusion":[8,86],"guidelines.":[9],"This":[10],"work":[11],"demonstrates":[12],"a":[13,104],"practical":[14],"approach":[15,22],"for":[16,34],"improved":[17,35],"image-based":[18],"biometric":[19,85],"feature-fusion.":[20],"extracts":[23],"and":[24,29,52,64,100],"combines":[25],"face,":[27],"fingerprint":[28],"palmprint":[30,50],"at":[31,88],"feature-level":[33,90],"human":[36],"identification":[37],"accuracy.":[38],"Feature-fusion":[39],"guidelines,":[40],"proposed":[41],"in":[42,68],"recent":[43],"work,":[44],"are":[45,79],"extended":[46],"by":[47],"adding":[48],"modality":[51],"support":[54],"vector":[55],"machine":[56],"classifier.":[57],"Guidelines":[58],"take":[59],"form":[61],"of":[62],"strengths":[63],"weaknesses":[65],"as":[66],"observed":[67],"applied":[70],"feature":[71],"processing":[72],"modules":[73],"during":[74],"preliminary":[75],"experiments.":[76],"guidelines":[78],"used":[80],"to":[81,91],"implement":[82],"an":[83],"effective":[84],"system":[87],"reduce":[92],"equal":[94],"error":[95],"rate":[96],"on":[97],"SDUMLA":[99],"IITD":[101],"datasets,":[102],"using":[103],"novel":[105],"feature-fusion":[106],"methodology.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}