{"id":"https://openalex.org/W4200310707","doi":"https://doi.org/10.1145/3492547.3492607","title":"Offline Handwritten Signature Recognition based on Discrete Cosine Transform and Artificial Neural Network","display_name":"Offline Handwritten Signature Recognition based on Discrete Cosine Transform and Artificial Neural Network","publication_year":2021,"publication_date":"2021-10-11","ids":{"openalex":"https://openalex.org/W4200310707","doi":"https://doi.org/10.1145/3492547.3492607"},"language":"en","primary_location":{"id":"doi:10.1145/3492547.3492607","doi":"https://doi.org/10.1145/3492547.3492607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492547.3492607","pdf_url":null,"source":{"id":"https://openalex.org/S4306523894","display_name":"International Conference on Engineering & MIS (ICEMIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 7th International Conference on Engineering & MIS 2021","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5082830090","display_name":"Jumana Eltrabelsi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31439502","display_name":"University of Benghazi","ror":"https://ror.org/03fh7t044","country_code":"LY","type":"education","lineage":["https://openalex.org/I31439502"]}],"countries":["LY"],"is_corresponding":false,"raw_author_name":"Jumana Eltrabelsi","raw_affiliation_strings":["Computer Science Department, University of Benghazi, Libya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Benghazi, Libya","institution_ids":["https://openalex.org/I31439502"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048596631","display_name":"Ahmed O. Lawgali","orcid":"https://orcid.org/0000-0003-0331-3005","observed_orcids":["https://orcid.org/0000-0003-0331-3005"]},"institutions":[{"id":"https://openalex.org/I31439502","display_name":"University of Benghazi","ror":"https://ror.org/03fh7t044","country_code":"LY","type":"education","lineage":["https://openalex.org/I31439502"]}],"countries":["LY"],"is_corresponding":false,"raw_author_name":"Ahmed Lawgali","raw_affiliation_strings":["Computer Science Department, University of Benghazi, Libya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Benghazi, Libya","institution_ids":["https://openalex.org/I31439502"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31439502"],"apc_list":null,"apc_paid":null,"fwci":0.1541,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.40034557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10828","display_name":"Biometric Identification and Security","score":0.00019999999494757503,"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/T11800","display_name":"User Authentication and Security Systems","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/handwritten-signature-recognition","display_name":"handwritten signature recognition","score":0.9589999914169312},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"discrete cosine transform","score":0.8119999766349792},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.8389999866485596},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7760000228881836},{"id":"https://openalex.org/keywords/biometric-recognition","display_name":"biometric identification","score":0.7540000081062317}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8633190393447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053963541984558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6938786506652832},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6934167742729187},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6852709054946899},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6752901077270508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6588671207427979},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.572115421295166},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48369914293289185},{"id":"https://openalex.org/C28726691","wikidata":"https://www.wikidata.org/wiki/Q1268231","display_name":"Modified discrete cosine transform","level":5,"score":0.4360206723213196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36766111850738525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3502425253391266},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34572476148605347},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.32035934925079346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1884724199771881},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3492547.3492607","doi":"https://doi.org/10.1145/3492547.3492607","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3492547.3492607","pdf_url":null,"source":{"id":"https://openalex.org/S4306523894","display_name":"International Conference on Engineering & MIS (ICEMIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 7th International Conference on Engineering & MIS 2021","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1536848579","https://openalex.org/W1966412218","https://openalex.org/W2110905250","https://openalex.org/W2415340286","https://openalex.org/W2603226078","https://openalex.org/W2606195941","https://openalex.org/W2775733960","https://openalex.org/W2965756490","https://openalex.org/W4239792255"],"related_works":["https://openalex.org/W2063832171","https://openalex.org/W2400942290","https://openalex.org/W2137506337","https://openalex.org/W1992088881","https://openalex.org/W2169848562","https://openalex.org/W2592814055","https://openalex.org/W2137224948","https://openalex.org/W2128897731","https://openalex.org/W2978398729","https://openalex.org/W201576175"],"abstract_inverted_index":{"Abstract-":[0],"Signature":[1],"recognition":[2],"is":[3,19,32],"of":[4,76],"great":[5],"importance":[6],"in":[7,14],"our":[8],"daily":[9],"life":[10],"as":[11,13],"well":[12],"automatic":[15],"identification":[16],"systems.":[17],"It":[18],"an":[20],"acceptable":[21],"biometric":[22],"method":[23],"used":[24],"to":[25,47,50],"identify":[26],"a":[27,40,86],"person,":[28],"because":[29],"each":[30],"person":[31],"distinguished":[33],"by":[34],"its":[35],"signature.":[36],"This":[37,78],"paper":[38],"presents":[39],"technique":[41],"based":[42],"on":[43],"Discrete":[44,54],"Cosine":[45,55],"Transform":[46,56],"capture":[48],"features":[49],"distinguish":[51],"signatures":[52],"handwritten.":[53],"parameters":[57,65],"are":[58,66],"extracted":[59],"from":[60],"signature":[61],"image":[62],"and":[63,85,93],"these":[64],"entered":[67],"for":[68,73],"the":[69,74],"Artificial":[70],"Neural":[71],"Network":[72],"purpose":[75],"classification.":[77],"work":[79],"was":[80],"tested":[81],"with":[82],"sigcomp2011":[83],"database":[84],"comparison":[87],"made":[88],"against":[89],"some":[90],"existing":[91],"techniques,":[92],"promising":[94],"results":[95],"have":[96],"been":[97],"obtained.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2021-12-31T00:00:00"}