{"id":"https://openalex.org/W2526373776","doi":"https://doi.org/10.1142/s0218001417560079","title":"Fuzzy Brain Storm Optimization and Adaptive Thresholding for Multimodal Vein-Based Recognition System","display_name":"Fuzzy Brain Storm Optimization and Adaptive Thresholding for Multimodal Vein-Based Recognition System","publication_year":2016,"publication_date":"2016-09-30","ids":{"openalex":"https://openalex.org/W2526373776","doi":"https://doi.org/10.1142/s0218001417560079","mag":"2526373776"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001417560079","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417560079","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5006937311","display_name":"Dipti Verma","orcid":null},"institutions":[{"id":"https://openalex.org/I3132343680","display_name":"Sarguja University","ror":"https://ror.org/05y8j9f75","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132343680"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dipti Verma","raw_affiliation_strings":["Department of CSE, Vishwavidyalaya Engineering College, Lakhanpur, Sarguja University, Ambikapur, Chhattisgarh 497001, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Vishwavidyalaya Engineering College, Lakhanpur, Sarguja University, Ambikapur, Chhattisgarh 497001, India","institution_ids":["https://openalex.org/I3132343680"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021970406","display_name":"Sipi Dubey","orcid":"https://orcid.org/0000-0002-5472-3816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sipi Dubey","raw_affiliation_strings":["Department of CSE, Rungta College of Engineering and Technology, (RCET)Bhilai, Chhattisgarh 490024, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Rungta College of Engineering and Technology, (RCET)Bhilai, Chhattisgarh 490024, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006937311"],"corresponding_institution_ids":["https://openalex.org/I3132343680"],"apc_list":null,"apc_paid":null,"fwci":0.7565,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72335358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"05","first_page":"1756007","last_page":"1756007"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9968000054359436,"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":0.9968000054359436,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9254000186920166,"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/thresholding","display_name":"Thresholding","score":0.8293635845184326},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7607864141464233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272465825080872},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7195587754249573},{"id":"https://openalex.org/keywords/palm-print","display_name":"Palm print","score":0.5979628562927246},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5827389359474182},{"id":"https://openalex.org/keywords/password","display_name":"Password","score":0.5213291049003601},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44726884365081787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4206458628177643},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3055524230003357}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8293635845184326},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7607864141464233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272465825080872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7195587754249573},{"id":"https://openalex.org/C2777503689","wikidata":"https://www.wikidata.org/wiki/Q7128108","display_name":"Palm print","level":3,"score":0.5979628562927246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5827389359474182},{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.5213291049003601},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44726884365081787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4206458628177643},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3055524230003357},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001417560079","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417560079","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1413778154","https://openalex.org/W1965481501","https://openalex.org/W1968517241","https://openalex.org/W1977815744","https://openalex.org/W2008340903","https://openalex.org/W2018667667","https://openalex.org/W2027463020","https://openalex.org/W2033149918","https://openalex.org/W2044321590","https://openalex.org/W2048666961","https://openalex.org/W2060940811","https://openalex.org/W2069529927","https://openalex.org/W2093630402","https://openalex.org/W2122886346","https://openalex.org/W2126386631","https://openalex.org/W2129215140","https://openalex.org/W2134532107","https://openalex.org/W2147330429","https://openalex.org/W2150564648","https://openalex.org/W2156293486","https://openalex.org/W2193191470","https://openalex.org/W2256521900","https://openalex.org/W2281809285","https://openalex.org/W2321150062","https://openalex.org/W2337287328","https://openalex.org/W2396968374","https://openalex.org/W2497671071","https://openalex.org/W2505582491"],"related_works":["https://openalex.org/W2898228808","https://openalex.org/W2782136352","https://openalex.org/W4241479212","https://openalex.org/W2144679583","https://openalex.org/W2789196996","https://openalex.org/W1578203750","https://openalex.org/W2176487606","https://openalex.org/W2078165555","https://openalex.org/W1226648629","https://openalex.org/W4245321645"],"abstract_inverted_index":{"Nowadays,":[0],"conventional":[1],"security":[2],"method":[3,93,124],"of":[4,121,132,151,169],"using":[5,67,128],"passwords":[6],"can":[7],"be":[8],"easily":[9],"forged":[10],"by":[11,46],"unauthorized":[12],"person.":[13],"Hence,":[14],"biometric":[15,38,114],"cues":[16],"such":[17],"as":[18],"fingerprints,":[19],"voice,":[20],"palm":[21,68,133],"print,":[22],"and":[23,72,117,139,154],"face":[24],"are":[25,109,146],"more":[26],"preferable":[27],"for":[28,82,96],"recognition":[29,56,104,115],"but":[30],"to":[31,100],"preserve":[32],"the":[33,47,54,84,102,113,118,122,129,149,161,172],"liveliness,":[34],"another":[35],"one":[36],"important":[37],"trait":[39],"is":[40,44,79,94,125],"vein":[41,85,134,137,141],"pattern,":[42],"which":[43],"formed":[45],"subcutaneous":[48],"blood":[49],"vessels":[50],"that":[51,160],"contain":[52],"all":[53],"achievable":[55],"properties.":[57],"Accordingly,":[58],"in":[59,112],"this":[60],"paper,":[61],"we":[62,158],"propose":[63],"a":[64,166],"multibiometric":[65],"system":[66,116],"vein,":[69,71],"hand":[70,140],"finger":[73,136],"vein.":[74],"Here,":[75],"Holoentropy-based":[76],"thresholding":[77],"mechanism":[78],"newly":[80],"developed":[81],"extracting":[83],"patterns.":[86],"Also,":[87],"Fuzzy":[88],"Brain":[89],"Storm":[90],"Optimization":[91],"(FBSO)":[92],"proposed":[95,123,162],"score":[97],"level":[98],"fusion":[99],"achieve":[101],"better":[103],"performance.":[105],"These":[106],"two":[107],"contributions":[108],"effectively":[110],"included":[111],"performance":[119],"analysis":[120],"carried":[126],"out":[127],"benchmark":[130],"datasets":[131],"image,":[135,138],"image.":[142],"The":[143],"quantitative":[144],"results":[145],"analyzed":[147],"with":[148],"help":[150],"FAR,":[152],"FRR,":[153],"accuracy.":[155],"From":[156],"outcome,":[157],"proved":[159],"FBSO":[163],"approach":[164],"attained":[165],"higher":[167],"accuracy":[168],"81.3%":[170],"than":[171],"existing":[173],"methods.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}