{"id":"https://openalex.org/W4392411978","doi":"https://doi.org/10.1109/ijcb57857.2023.10449120","title":"OSVConTramer: A Hybrid CNN and Transformer based Online Signature Verification","display_name":"OSVConTramer: A Hybrid CNN and Transformer based Online Signature Verification","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4392411978","doi":"https://doi.org/10.1109/ijcb57857.2023.10449120"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb57857.2023.10449120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb57857.2023.10449120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","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/A5082783079","display_name":"Chandra Sekhar Vorugunti","orcid":"https://orcid.org/0000-0002-8490-3594"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Chandra Sekhar Vorugunti","raw_affiliation_strings":["IIIT-SriCity,Andhra Pradesh,India","IIIT-SriCity, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"IIIT-SriCity,Andhra Pradesh,India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"IIIT-SriCity, Andhra Pradesh, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051771442","display_name":"Avinash Gautam","orcid":"https://orcid.org/0000-0002-8339-1179"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avinash Gautam","raw_affiliation_strings":["BITS-Pilani,Pilani,India,333031"],"affiliations":[{"raw_affiliation_string":"BITS-Pilani,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101789705","display_name":"P. Viswanath","orcid":"https://orcid.org/0000-0001-5953-6246"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Viswanath Pulabaigari","raw_affiliation_strings":["IIIT-SriCity,Andhra Pradesh,India","IIIT-SriCity, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"IIIT-SriCity,Andhra Pradesh,India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"IIIT-SriCity, Andhra Pradesh, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082783079"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46787641,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9993000030517578,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9901999831199646,"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":0.749224841594696},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5971018671989441},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5495619773864746},{"id":"https://openalex.org/keywords/digital-signature","display_name":"Digital signature","score":0.4345552623271942},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25077515840530396},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15624839067459106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09772762656211853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749224841594696},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5971018671989441},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5495619773864746},{"id":"https://openalex.org/C118463975","wikidata":"https://www.wikidata.org/wiki/Q220849","display_name":"Digital signature","level":3,"score":0.4345552623271942},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25077515840530396},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15624839067459106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09772762656211853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb57857.2023.10449120","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb57857.2023.10449120","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6100000143051147,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2040320186","https://openalex.org/W2053438338","https://openalex.org/W2128933182","https://openalex.org/W2157504884","https://openalex.org/W2183902959","https://openalex.org/W2465763144","https://openalex.org/W2498266915","https://openalex.org/W2554783051","https://openalex.org/W2560609153","https://openalex.org/W2563575047","https://openalex.org/W2572934628","https://openalex.org/W2592374550","https://openalex.org/W2763096616","https://openalex.org/W2767294029","https://openalex.org/W2773198688","https://openalex.org/W2785639375","https://openalex.org/W2797212153","https://openalex.org/W2889254994","https://openalex.org/W2892014594","https://openalex.org/W2900453221","https://openalex.org/W2911424601","https://openalex.org/W2913923907","https://openalex.org/W2957386501","https://openalex.org/W2963091558","https://openalex.org/W2998295334","https://openalex.org/W3002262129","https://openalex.org/W3002994558","https://openalex.org/W3003258286","https://openalex.org/W3003933131","https://openalex.org/W3004287468","https://openalex.org/W3033568580","https://openalex.org/W3093458092","https://openalex.org/W3094115835","https://openalex.org/W3097777922","https://openalex.org/W3098636586","https://openalex.org/W3111929329","https://openalex.org/W3118791215","https://openalex.org/W3158525608","https://openalex.org/W3162095122","https://openalex.org/W3167280680","https://openalex.org/W3167536469","https://openalex.org/W3176196997","https://openalex.org/W3179565650","https://openalex.org/W3198794504","https://openalex.org/W3203857248","https://openalex.org/W3204479434","https://openalex.org/W3214586131","https://openalex.org/W4214493665","https://openalex.org/W4214516465","https://openalex.org/W4221036444","https://openalex.org/W4285224065","https://openalex.org/W4312297088","https://openalex.org/W6788135285","https://openalex.org/W6798335185"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2149234266","https://openalex.org/W2390942931","https://openalex.org/W1932157736","https://openalex.org/W1981680180","https://openalex.org/W1601957798","https://openalex.org/W2125461068"],"abstract_inverted_index":{"The":[0,25,39,58,117,172],"advances":[1],"in":[2,7,45,68,91,104],"Deep":[3],"Learning":[4],"(DL)":[5],"resulted":[6],"the":[8,33,62,147,175,180,190,194],"development":[9],"Convolutional":[10],"Neural":[11,16],"Network":[12],"(CNN)":[13],"and":[14,109,124,133,137,152,169,198],"Recurrent":[15],"Networks":[17],"(RNN)":[18],"based":[19,30,41,66,139],"Online":[20,112],"Signature":[21,113],"Verification":[22],"(OSV)":[23],"frameworks.":[24],"main":[26],"drawback":[27],"with":[28],"LSTM":[29,138],"networks":[31],"is":[32,186],"limited":[34],"parallelization":[35],"of":[36,64,80,98,101,127,166,174,183,193],"model":[37,161],"training.":[38],"CNN":[40,108,136],"frameworks":[42,141,185],"are":[43],"efficient":[44,78],"learning":[46,192],"local":[47,123,197],"feature":[48,56,83,131,200],"dependencies,":[49],"but":[50],"fail":[51],"to":[52,77,86,156],"apprehend":[53],"long":[54,69],"term":[55,70],"dependencies.":[57],"current":[59],"works":[60],"confirmed":[61],"success":[63],"Transformer":[65,110],"models":[67],"time":[71],"series":[72],"classification":[73,89,144],"(LTTSC)":[74],"problems":[75],"due":[76],"capturing":[79],"context-dependent":[81],"global":[82,125,199],"interactions.":[84],"Hence,":[85],"achieve":[87],"higher":[88],"accuracy,":[90],"this":[92],"work,":[93],"we":[94,106],"propose":[95],"a":[96,163],"first":[97],"its":[99],"kind":[100],"an":[102,128],"attempt,":[103],"which,":[105],"combine":[107],"for":[111],"Verification,":[114],"named":[115],"OSVConTramer.":[116],"proposed":[118],"OSVConTramer":[119],"efficiently":[120],"learns":[121],"optimal":[122,191],"dependencies":[126],"input":[129],"signature":[130],"vector":[132],"outperforms":[134],"previous":[135],"OSV":[140,184],"achieving":[142],"state-of-the-art":[143],"accuracy.":[145],"On":[146],"widely":[148],"used":[149],"MCYT-100,":[150],"SVC,":[151],"SUSIG":[153],"datasets,":[154],"specific":[155],"one":[157],"shot":[158],"learning,":[159],"our":[160],"achieves":[162],"SOTA":[164],"EER":[165],"10.85%,":[167],"5.45%,":[168],"6.32%,":[170],"respectively.":[171],"results":[173],"experimental":[176],"analysis":[177],"confirms":[178],"that":[179],"accuracy":[181],"outcomes":[182],"improved":[187],"significantly":[188],"by":[189],"relationships":[195],"between":[196],"dependency.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
