{"id":"https://openalex.org/W7126090668","doi":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","title":"Research on neural network algorithms for user dynamic signature recognition in the space of multidimensional curve samples, in comparison with optimal detection\u2013discrimination algorithms for multidimensional signals","display_name":"Research on neural network algorithms for user dynamic signature recognition in the space of multidimensional curve samples, in comparison with optimal detection\u2013discrimination algorithms for multidimensional signals","publication_year":2026,"publication_date":"2026-01-28","ids":{"openalex":"https://openalex.org/W7126090668","doi":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161"},"language":"en","primary_location":{"id":"doi:10.21869/2223-1536-2025-15-4-150-161","doi":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","is_oa":true,"landing_page_url":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","pdf_url":"https://uprinmatus.elpub.ru/jour/article/download/382/229","source":{"id":"https://openalex.org/S4387289768","display_name":"Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering","issn_l":"2223-1536","issn":["2223-1536"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://uprinmatus.elpub.ru/jour/article/download/382/229","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124290236","display_name":"A. K. Tantserov","orcid":"https://orcid.org/0009-0006-7695-0514","observed_orcids":["https://orcid.org/0009-0006-7695-0514"]},"institutions":[{"id":"https://openalex.org/I4210146030","display_name":"Penza State Technological University","ror":"https://ror.org/04dammg70","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210146030"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A. K. Tantserov","raw_affiliation_strings":["Penza State Technological University"],"raw_orcid":"https://orcid.org/0009-0006-7695-0514","affiliations":[{"raw_affiliation_string":"Penza State Technological University","institution_ids":["https://openalex.org/I4210146030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060332169","display_name":"Evgeny A. Danilov","orcid":"https://orcid.org/0000-0003-4114-7036","observed_orcids":["https://orcid.org/0000-0003-4114-7036"]},"institutions":[{"id":"https://openalex.org/I4210146030","display_name":"Penza State Technological University","ror":"https://ror.org/04dammg70","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210146030"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"E. A. Danilov","raw_affiliation_strings":["Penza State Technological University"],"raw_orcid":"https://orcid.org/0000-0003-4114-7036","affiliations":[{"raw_affiliation_string":"Penza State Technological University","institution_ids":["https://openalex.org/I4210146030"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210146030"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"4","first_page":"150","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.8154000043869019,"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"}},"topics":[{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.8154000043869019,"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"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.17139999568462372,"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":0.008200000040233135,"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/user-authentication","display_name":"user authentication","score":0.656000018119812},{"id":"https://openalex.org/keywords/biometric-authentication","display_name":"biometric authentication","score":0.7289999723434448},{"id":"https://openalex.org/keywords/neural-network-classifier","display_name":"neural network classifier","score":0.8069999814033508},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5699999928474426}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6725000143051147},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6705999970436096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6499000191688538},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6341000199317932},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5716999769210815},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.5182999968528748},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5164999961853027},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5134000182151794},{"id":"https://openalex.org/C100279318","wikidata":"https://www.wikidata.org/wiki/Q467440","display_name":"Sample space","level":2,"score":0.48669999837875366},{"id":"https://openalex.org/C164086593","wikidata":"https://www.wikidata.org/wiki/Q1227035","display_name":"Stylus","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C169191187","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional analysis","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42800000309944153},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C158457486","wikidata":"https://www.wikidata.org/wiki/Q17104301","display_name":"Multidimensional systems","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C118463975","wikidata":"https://www.wikidata.org/wiki/Q220849","display_name":"Digital signature","level":3,"score":0.2524000108242035},{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21869/2223-1536-2025-15-4-150-161","doi":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","is_oa":true,"landing_page_url":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","pdf_url":"https://uprinmatus.elpub.ru/jour/article/download/382/229","source":{"id":"https://openalex.org/S4387289768","display_name":"Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering","issn_l":"2223-1536","issn":["2223-1536"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.21869/2223-1536-2025-15-4-150-161","doi":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","is_oa":true,"landing_page_url":"https://doi.org/10.21869/2223-1536-2025-15-4-150-161","pdf_url":"https://uprinmatus.elpub.ru/jour/article/download/382/229","source":{"id":"https://openalex.org/S4387289768","display_name":"Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering","issn_l":"2223-1536","issn":["2223-1536"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["russia-white-list-3"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126090668.pdf","grobid_xml":"https://content.openalex.org/works/W7126090668.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1997460147","https://openalex.org/W2022508996","https://openalex.org/W2790266980","https://openalex.org/W4321609509","https://openalex.org/W4412089315","https://openalex.org/W4412089607"],"related_works":["https://openalex.org/W7126044827","https://openalex.org/W4415725491","https://openalex.org/W4401094167","https://openalex.org/W2735613043","https://openalex.org/W4414647658","https://openalex.org/W1988825902","https://openalex.org/W2928028644","https://openalex.org/W4387215237","https://openalex.org/W97510154","https://openalex.org/W129978451"],"abstract_inverted_index":{"Purpose":[0],"of":[1,7,28,48,58,64,72,86,107,116,121,124,135,153,194,202,209,249,267,274],"research":[2],".":[3,100,139,243],"The":[4,101,168,216],"widespread":[5],"adoption":[6],"dynamic":[8,34,78,110,147,256],"signatures":[9,35,257],"in":[10,20,43,112,149,191,219,280],"various":[11],"biometric":[12,30],"technology":[13],"applicationssupported":[14],"by":[15,119,131],"clearly":[16],"defined":[17],"legal":[18],"procedures":[19],"many":[21],"countries-drives":[22],"significant":[23],"attention":[24],"toward":[25],"the":[26,40,46,55,62,70,77,108,113,136,145,150,179,192,223,246],"reliability":[27,50,71,190,207,248],"corresponding":[29],"authentication":[31,49,74],"algorithms.":[32],"While":[33],"are":[36],"partially":[37],"free":[38],"from":[39,221],"drawbacks":[41],"inherent":[42],"static":[44],"signatures,":[45],"problem":[47],"remains":[51],"critical":[52],"due":[53],"to":[54,68,196,229,233,238],"complex":[56],"interplay":[57],"heterogeneous":[59],"factors.":[60],"Therefore,":[61],"aim":[63],"this":[65],"study":[66],"is":[67],"improve":[69],"user":[73,214,250],"based":[75],"on":[76,178],"signature":[79,111,148],"using":[80,127,222],"experimental":[81],"structural":[82],"and":[83,90,133,159,184,204,226,236,286],"parametric":[84],"synthesis":[85],"problem-oriented":[87],"neural":[88,287],"networks":[89],"comparison":[91],"with":[92,161,212,263],"classical":[93],"detection-discrimination":[94,163],"algorithms":[95,142,164,275],"for":[96,143,165,198,255],"multidimensional":[97,117,154,166],"signals.":[98,167],"Methods":[99],"proposed":[102],"method":[103],"involves":[104],"comprehensive":[105],"identification":[106,189,253],"user's":[109],"sample":[114,151],"space":[115,152],"curves":[118,155],"means":[120],"parallel":[122],"recognition":[123],"curve":[125],"fragments":[126],"multiple":[128],"detectors/classifiers,":[129],"followed":[130],"integration":[132],"analysis":[134],"results.":[137],"Results":[138],"Neural":[140],"network":[141,288],"identifying":[144],"user\u2019s":[146],"were":[156],"experimentally":[157],"studied":[158],"compared":[160,228,237],"optimal":[162,272],"experiments":[169],"demonstrated":[170],"that":[171,276],"3\u20135":[172],"key":[173],"parameters-including":[174],"two":[175],"stylus":[176,185],"coordinates":[177],"tablet":[180],"plane,":[181],"screen":[182],"pressure,":[183],"velocity":[186],"vectors-ensure":[187],"acceptable":[188],"range":[193],"0,8":[195],"0,95":[197],"a":[199,206,264],"small":[200],"number":[201,266],"users,":[203],"maintain":[205],"level":[208],"about":[210],"0,7":[211],"unlimited":[213],"scaling.":[215],"average":[217],"gain":[218],"accuracy":[220,279],"developed":[224],"models":[225,254],"algorithms,":[227],"statistical":[230],"methods,":[231,240],"amounted":[232],"25\u2013":[234],"35%,":[235],"metric":[239],"5\u201315%.":[241],"Conclusion":[242],"To":[244],"achieve":[245],"required":[247],"authentication,":[251],"hardware-software":[252],"should":[258],"be":[259],"decomposed":[260],"into":[261],"groups":[262],"limited":[265],"users.":[268],"There":[269],"exists":[270],"an":[271],"combination":[273],"delivers":[277],"maximum":[278],"result":[281],"integration:":[282],"Euclidean":[283],"metric,":[284],"correlation-based,":[285],"classifiers.":[289]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-01-30T00:00:00"}
