{"id":"https://openalex.org/W2619029709","doi":"https://doi.org/10.1145/3077829.3077836","title":"Fingerprint classification based on a Q-Gaussian multiclass support vector machine","display_name":"Fingerprint classification based on a Q-Gaussian multiclass support vector machine","publication_year":2017,"publication_date":"2017-04-21","ids":{"openalex":"https://openalex.org/W2619029709","doi":"https://doi.org/10.1145/3077829.3077836","mag":"2619029709"},"language":"en","primary_location":{"id":"doi:10.1145/3077829.3077836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077829.3077836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Biometrics Engineering and Application","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/A5081161599","display_name":"Mohamed Hammad","orcid":"https://orcid.org/0000-0002-6506-3083"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I63601056","display_name":"Menoufia University","ror":"https://ror.org/05sjrb944","country_code":"EG","type":"education","lineage":["https://openalex.org/I63601056"]}],"countries":["CN","EG"],"is_corresponding":false,"raw_author_name":"Mohamed Hammad","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China and Menoufia University, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China and Menoufia University, Egypt","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I63601056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049558861","display_name":"Kuanquan Wang","orcid":"https://orcid.org/0000-0003-1347-3491"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanquan Wang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7477,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87518258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9940999746322632,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7670875787734985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6996106505393982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6880401372909546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6485595703125},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.6085636019706726},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6029874682426453},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.5718478560447693},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.5460754036903381},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5448822975158691},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5343804359436035},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5259664058685303},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5104652643203735},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.508033275604248},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.4486892819404602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4064365327358246},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3917999267578125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25617286562919617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19981130957603455}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7670875787734985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6996106505393982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6880401372909546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6485595703125},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.6085636019706726},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6029874682426453},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.5718478560447693},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.5460754036903381},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5448822975158691},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5343804359436035},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5259664058685303},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5104652643203735},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.508033275604248},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.4486892819404602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4064365327358246},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3917999267578125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25617286562919617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19981130957603455},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077829.3077836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077829.3077836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Biometrics Engineering and Application","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W4839462","https://openalex.org/W56743589","https://openalex.org/W1480102187","https://openalex.org/W1482684349","https://openalex.org/W1526146785","https://openalex.org/W1567195887","https://openalex.org/W1864292016","https://openalex.org/W1869391892","https://openalex.org/W1964357740","https://openalex.org/W2003939882","https://openalex.org/W2064312517","https://openalex.org/W2071131570","https://openalex.org/W2078253065","https://openalex.org/W2080591750","https://openalex.org/W2087347434","https://openalex.org/W2100537461","https://openalex.org/W2118498934","https://openalex.org/W2119821739","https://openalex.org/W2122284941","https://openalex.org/W2129476886","https://openalex.org/W2139212933","https://openalex.org/W2148603752","https://openalex.org/W2208033042","https://openalex.org/W2490800645","https://openalex.org/W2726663170","https://openalex.org/W3193477162","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W4221107122","https://openalex.org/W2353199197","https://openalex.org/W2140869420","https://openalex.org/W2382704364","https://openalex.org/W4311472972","https://openalex.org/W4306800962","https://openalex.org/W2376457295","https://openalex.org/W2533627365","https://openalex.org/W1492922977","https://openalex.org/W1661924774"],"abstract_inverted_index":{"Accurate":[0],"recognition":[1],"and":[2,9,52,94,97,114,130],"actual":[3],"classification":[4,19,24,70],"of":[5,35,42,138],"fingerprint":[6,12,23,69],"are":[7],"vital":[8],"necessary":[10],"for":[11,68],"identification.":[13],"Previous":[14],"researchers":[15],"have":[16,29],"used":[17],"many":[18,132],"algorithms":[20],"to":[21,37,145],"develop":[22],"model,":[25],"but":[26],"they":[27],"still":[28],"some":[30],"certain":[31],"problems":[32],"like":[33],"time":[34],"implementation":[36],"do":[38],"the":[39,100,139],"task,":[40],"cost":[41],"implementation,":[43],"working":[44,48],"on":[45,49],"non-linear":[46],"features,":[47],"multi-dimensional":[50],"features":[51],"under":[53],"or":[54],"over":[55],"learning":[56],"problems.":[57,134],"In":[58],"this":[59],"paper,":[60],"a":[61,82],"Q-Gaussian":[62,75],"multi-class":[63],"support":[64],"vector":[65],"machine":[66],"(QG-MSVM)":[67],"is":[71,77,88,142],"proposed":[72,86],"in":[73,90],"which":[74],"function":[76],"incorporated":[78],"into":[79],"SVM":[80],"as":[81],"kernel":[83,110,113],"function.":[84],"The":[85,118,135],"method":[87],"tested":[89],"CASIA,":[91],"FVC2000,":[92],"FVC2002":[93],"FVC2004":[95],"databases":[96],"compared":[98],"with":[99,103],"MSVM":[101,133],"methods":[102],"linear":[104],"kernel,":[105],"Gaussian":[106],"Radial":[107],"Basis":[108],"Function":[109],"(RBF),":[111],"Polynomial":[112],"other":[115,128],"state-of-the-art":[116],"methods.":[117],"experimental":[119],"results":[120],"show":[121],"that":[122],"QG-MSVM":[123,140],"demonstrates":[124],"better":[125],"performance":[126,137],"than":[127],"classifiers":[129],"overcome":[131],"overall":[136],"classifier":[141],"comprehensively":[143],"superior":[144],"all":[146],"others.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}