{"id":"https://openalex.org/W4210993231","doi":"https://doi.org/10.1117/1.jei.31.4.041210","title":"Offline signature verification using deep neural network with application to computer vision","display_name":"Offline signature verification using deep neural network with application to computer vision","publication_year":2022,"publication_date":"2022-02-10","ids":{"openalex":"https://openalex.org/W4210993231","doi":"https://doi.org/10.1117/1.jei.31.4.041210"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.31.4.041210","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5048865707","display_name":"Neha Sharma","orcid":"https://orcid.org/0000-0001-5103-6570"},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"funder","lineage":["https://openalex.org/I74319210"]},{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["IN","NP"],"is_corresponding":false,"raw_author_name":"Neha Sharma","raw_affiliation_strings":["Chitkara University, Chitkara University Institute of Engineering and Technology, Chandigarh, Punjab"],"affiliations":[{"raw_affiliation_string":"Chitkara University, Chitkara University Institute of Engineering and Technology, Chandigarh, Punjab","institution_ids":["https://openalex.org/I74319210","https://openalex.org/I4210129773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078742860","display_name":"Sheifali Gupta","orcid":"https://orcid.org/0000-0001-5692-418X"},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"funder","lineage":["https://openalex.org/I74319210"]},{"id":"https://openalex.org/I4210129773","display_name":"Institute of Engineering","ror":"https://ror.org/03ny67e60","country_code":"NP","type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4210129773"]}],"countries":["IN","NP"],"is_corresponding":false,"raw_author_name":"Sheifali Gupta","raw_affiliation_strings":["Chitkara University, Chitkara University Institute of Engineering and Technology, Chandigarh, Punjab"],"affiliations":[{"raw_affiliation_string":"Chitkara University, Chitkara University Institute of Engineering and Technology, Chandigarh, Punjab","institution_ids":["https://openalex.org/I74319210","https://openalex.org/I4210129773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060411317","display_name":"Puneet Mehta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puneet Mehta","raw_affiliation_strings":["College of Engineering Landran, Chandigarh Group of Colleges, Chandigarh, Punjab"],"affiliations":[{"raw_affiliation_string":"College of Engineering Landran, Chandigarh Group of Colleges, Chandigarh, Punjab","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027459275","display_name":"Xiaochun Cheng","orcid":"https://orcid.org/0000-0003-0371-9646"},"institutions":[{"id":"https://openalex.org/I4210127577","display_name":"Middlesex University","ror":"https://ror.org/030ypay32","country_code":"MT","type":"education","lineage":["https://openalex.org/I4210127577"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Xiaochun Cheng","raw_affiliation_strings":["Middlesex University, Department of Computer Science and Engineering, London"],"affiliations":[{"raw_affiliation_string":"Middlesex University, Department of Computer Science and Engineering, London","institution_ids":["https://openalex.org/I4210127577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033912893","display_name":"Achyut Shankar","orcid":"https://orcid.org/0000-0003-3165-3293"},"institutions":[{"id":"https://openalex.org/I4210126505","display_name":"Amity University","ror":"https://ror.org/02exxtn84","country_code":"AE","type":"education","lineage":["https://openalex.org/I191972202","https://openalex.org/I4210126505"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Achyut Shankar","raw_affiliation_strings":["Amity University, Amity School of Engineering and Technology, Noida, Uttar Pradesh"],"affiliations":[{"raw_affiliation_string":"Amity University, Amity School of Engineering and Technology, Noida, Uttar Pradesh","institution_ids":["https://openalex.org/I4210126505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612644","display_name":"Rahul Singh","orcid":"https://orcid.org/0000-0003-4561-755X"},"institutions":[{"id":"https://openalex.org/I4210126505","display_name":"Amity University","ror":"https://ror.org/02exxtn84","country_code":"AE","type":"education","lineage":["https://openalex.org/I191972202","https://openalex.org/I4210126505"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Prabhisek Singh","raw_affiliation_strings":["Amity University, Amity School of Engineering and Technology, Noida, Uttar Pradesh"],"affiliations":[{"raw_affiliation_string":"Amity University, Amity School of Engineering and Technology, Noida, Uttar Pradesh","institution_ids":["https://openalex.org/I4210126505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090967969","display_name":"Soumya Ranjan Nayak","orcid":"https://orcid.org/0000-0002-4155-884X"},"institutions":[{"id":"https://openalex.org/I4210126505","display_name":"Amity University","ror":"https://ror.org/02exxtn84","country_code":"AE","type":"education","lineage":["https://openalex.org/I191972202","https://openalex.org/I4210126505"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Soumya Ranjan Nayak","raw_affiliation_strings":["Amity University, Amity School of Engineering and Technology, Noida, Uttar Pradesh"],"affiliations":[{"raw_affiliation_string":"Amity University, Amity School of Engineering and Technology, Noida, Uttar Pradesh","institution_ids":["https://openalex.org/I4210126505"]}]}],"institution_assertions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.61,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.766934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"31","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9978,"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":0.9978,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9841,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13674","display_name":"Computer Science and Engineering","score":0.9675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.67421305},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.52002525},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4207983}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8161473},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7163329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.71228063},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.67421305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.60460067},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5420133},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.52002525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5193071},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.48694408},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4207983},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.41638616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3868734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32961023},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.jei.31.4.041210","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.51,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386213806","https://openalex.org/W4382286161","https://openalex.org/W4312200629","https://openalex.org/W4285149559","https://openalex.org/W4220996320","https://openalex.org/W3192840557","https://openalex.org/W3091976719","https://openalex.org/W3083834145","https://openalex.org/W3021430260","https://openalex.org/W3018421652"],"abstract_inverted_index":{"Biometric":[0],"technologies,":[1],"such":[2,147],"as":[3,148,216],"handwritten":[4,93],"signature":[5,48,64,94,98,259],"verification,":[6],"are":[7,193],"extremely":[8],"useful":[9],"for":[10,257],"identifying":[11],"individuals":[12],"inside":[13],"an":[14,32,62,71,242],"organization":[15],"or":[16],"finance":[17],"department.":[18],"The":[19,89,157,182,208,225],"improvement":[20],"of":[21,81,106,110,136,202,210,244],"picture":[22],"categorization":[23],"using":[24],"deep":[25],"learning":[26,124],"(DL)":[27],"neural":[28,168],"networks":[29],"has":[30],"offered":[31],"opportunity":[33],"to":[34,60,102,263],"exhibit":[35],"computer":[36,264],"vision":[37],"in":[38,251],"contemporary":[39],"research":[40,69],"applications":[41],"by":[42,129,144,196],"applying":[43],"image":[44],"processing":[45],"approaches.":[46],"Manual":[47],"verification":[49,65,260],"is":[50,58,127,142],"inefficient,":[51],"error-prone,":[52],"time-consuming,":[53],"and":[54,116,139,154,180,191,205,222,238],"inconvenient;":[55],"therefore,":[56],"it":[57],"critical":[59],"create":[61],"automatic":[63,72],"recognition":[66,73],"system.":[67],"This":[68,246],"offers":[70],"method":[74],"based":[75],"on":[76],"DL":[77],"that":[78],"makes":[79],"use":[80],"the":[82,96,104,134,186,197,200,211,231],"Grupo":[83],"de":[84,87],"Procesado":[85],"Digital":[86],"Seales.":[88],"biggest":[90],"publicly":[91],"accessible":[92],"dataset,":[95,99],"synthetic":[97],"was":[100,160,214],"used":[101],"classify":[103],"signatures":[105,115,240],"100":[107],"people,":[108],"each":[109],"whom":[111],"possessed":[112],"24":[113],"genuine":[114,237],"30":[117],"forged":[118,239],"signatures.":[119],"An":[120],"inception":[121,228],"V3":[122,229],"transfer":[123],"(TL)":[125],"model":[126,141,159,184],"proposed":[128],"hyper-tuning":[130],"different":[131],"layers":[132],"from":[133],"middle":[135],"its":[137],"architecture":[138],"this":[140],"fine-tuned":[143,227],"adding":[145],"layers,":[146],"flatten,":[149],"dense":[150,155],"(1024),":[151],"dropout":[152],"(0.5),":[153],"(1).":[156],"suggested":[158,183,226],"tested":[161],"against":[162],"six":[163],"well-known":[164],"pre-trained":[165,187,212],"TL":[166],"convolutional":[167],"network":[169],"models:":[170],"VGG":[171,173],"16,":[172],"19,":[174],"ResNet":[175,177],"50,":[176],"101,":[178],"MobileNet,":[179],"EfficientNet.":[181],"surpasses":[185],"models.":[188],"Precision,":[189],"sensitivity,":[190],"F1-score":[192],"likewise":[194],"outperformed":[195],"model,":[198],"with":[199,241,261],"values":[201],"88%,":[203,204],"87%,":[206],"respectively.":[207,224],"accuracy":[209,243],"models":[213,256],"evaluated":[215],"80%,":[217],"81%,":[218],"77%,":[219],"73%,":[220],"71%,":[221],"74%,":[223],"gives":[230],"highest":[232],"accurate":[233],"classifications,":[234],"distinguishing":[235],"between":[236],"88%.":[245],"study":[247],"will":[248],"aid":[249],"researchers":[250],"developing":[252],"more":[253],"effective":[254],"CNN-based":[255],"offline":[258],"application":[262],"vision.":[265]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4210993231","counts_by_year":[{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":2}],"updated_date":"2025-05-03T10:45:00.634815","created_date":"2022-02-13"}