{"id":"https://openalex.org/W4405936718","doi":"https://doi.org/10.1109/iccais63750.2024.10814324","title":"Offline Signature Forgery Detection Using Image Processing","display_name":"Offline Signature Forgery Detection Using Image Processing","publication_year":2024,"publication_date":"2024-11-26","ids":{"openalex":"https://openalex.org/W4405936718","doi":"https://doi.org/10.1109/iccais63750.2024.10814324"},"language":"en","primary_location":{"id":"doi:10.1109/iccais63750.2024.10814324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais63750.2024.10814324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5115720381","display_name":"Pham Hoang Minh Tram","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Pham Hoang Minh Tram","raw_affiliation_strings":["Ho Chi Minh City University of Technology,Dept. of Electrical and Electronics Engineering,Ho Chi Minh,Viet Nam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology,Dept. of Electrical and Electronics Engineering,Ho Chi Minh,Viet Nam","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113897446","display_name":"Dang Nguyen Chau","orcid":null},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dang Nguyen Chau","raw_affiliation_strings":["Ho Chi Minh City University of Technology,Dept. of Electrical and Electronics Engineering,Ho Chi Minh,Viet Nam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ho Chi Minh City University of Technology,Dept. of Electrical and Electronics Engineering,Ho Chi Minh,Viet Nam","institution_ids":["https://openalex.org/I47265099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47265099"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22646654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9330999851226807,"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":0.9330999851226807,"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":0.7459221482276917},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6411599516868591},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5588887333869934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4600754380226135},{"id":"https://openalex.org/keywords/digital-signature","display_name":"Digital signature","score":0.45097795128822327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.415568083524704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3893581032752991},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3266564607620239},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3062637746334076},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0830046534538269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459221482276917},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6411599516868591},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5588887333869934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4600754380226135},{"id":"https://openalex.org/C118463975","wikidata":"https://www.wikidata.org/wiki/Q220849","display_name":"Digital signature","level":3,"score":0.45097795128822327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.415568083524704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3893581032752991},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3266564607620239},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3062637746334076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0830046534538269},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais63750.2024.10814324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais63750.2024.10814324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2901465038","https://openalex.org/W2911303725","https://openalex.org/W2921188052","https://openalex.org/W2995338184","https://openalex.org/W3030110047","https://openalex.org/W3085640164","https://openalex.org/W3148831051","https://openalex.org/W3184990070","https://openalex.org/W4306152189","https://openalex.org/W4389488230","https://openalex.org/W4389550751"],"related_works":["https://openalex.org/W1671124163","https://openalex.org/W2168674042","https://openalex.org/W2535275505","https://openalex.org/W3030774134","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":{"Fingerprints,":[0],"irises,":[1],"faces,":[2],"voices,":[3],"and":[4,70,104,162,177,191,212,254],"handwritten":[5,52,125],"signatures":[6,40,61],"are":[7,22,145,200,206,215],"five":[8],"prevalent":[9],"biometric":[10],"recognition":[11],"in":[12,51],"many":[13],"practical":[14],"fields":[15],"such":[16],"as":[17,27],"financial":[18],"payment,":[19],"attendance,\u2026":[20],"Signatures":[21],"used":[23],"above":[24],"all":[25],"others":[26],"a":[28,34,42,90,110,139,148],"primary":[29],"form":[30],"of":[31,36,62,86,101,150,261],"authentication":[32],"for":[33,123,175,217],"range":[35],"transactions.":[37],"Detecting":[38],"forged":[39,72],"is":[41,121,170,184,227,252],"crucial":[43],"task":[44],"that":[45,230,249],"presents":[46],"several":[47],"challenges.":[48],"The":[49,130,196],"obstacles":[50],"signature":[53,76,93,126,142,157],"verification":[54,128],"include":[55],"large":[56,259],"variations":[57],"within":[58],"the":[59,63,87,156,160,168,182,193,209,213,223,231,238,244,250],"genuine":[60,69],"same":[64,210],"person,":[65],"small":[66],"differences":[67],"between":[68],"skillfully":[71],"signatures.":[73,262],"Manual":[74],"hand-written":[75],"verification's":[77],"efficiency":[78],"tends":[79],"to":[80,97,154,258],"be":[81,256],"inconsistent":[82],"based":[83,112],"on":[84,113],"expertise":[85],"experts.":[88],"As":[89],"result,":[91],"manual":[92],"review":[94],"can":[95,255],"lead":[96],"an":[98],"uncomfortable":[99],"number":[100],"false":[102],"rejections":[103],"forgery":[105],"acceptances.":[106],"In":[107],"this":[108],"paper,":[109],"solution":[111],"Convolutional":[114],"Neural":[115],"Network":[116],"using":[117,147,236],"pre-trained":[118,194,239],"VGG16":[119],"model":[120,132,183,232],"proposed":[122,131,197],"offline":[124],"automatical":[127],"system.":[129],"obtains":[133],"high":[134],"accuracy":[135,242],"multi-class":[136],"classification":[137],"with":[138,186,202,208,241],"few":[140],"training":[141,176,180,220],"samples.":[143],"Images":[144],"pre-processed":[146],"series":[149],"image":[151],"processing":[152],"techniques":[153],"separate":[155],"pixels":[158],"from":[159],"background":[161],"noise":[163],"pixels.":[164],"To":[165],"avoid":[166],"overfitting,":[167],"dataset":[169,211],"divided":[171],"into":[172],"3":[173],"groups":[174],"testing.":[178],"During":[179],"process,":[181],"trained":[185,201],"2":[187,203],"methods:":[188],"without":[189],"fine-tuning":[190,192,237],"layers.":[195],"models,":[198],"which":[199,219],"types":[204],"methods,":[205],"tested":[207],"accuracies":[214],"compared":[216],"finding":[218],"type":[221],"gives":[222],"best":[224],"result.":[225],"It":[226,247],"very":[228],"encourage":[229],"work":[233],"effectively":[234],"when":[235],"layers":[240],"attains":[243],"figure":[245],"97.71%.":[246],"shows":[248],"method":[251],"efficient":[253],"applied":[257],"datasets":[260]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
