{"id":"https://openalex.org/W2608426471","doi":"https://doi.org/10.1109/icpr.2016.7899791","title":"Approaching the intra-class variability in multi-script static signature evaluation","display_name":"Approaching the intra-class variability in multi-script static signature evaluation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608426471","doi":"https://doi.org/10.1109/icpr.2016.7899791","mag":"2608426471"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5067646117","display_name":"Moises D\u00edaz","orcid":"https://orcid.org/0000-0003-3878-3867"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Moises Diaz","raw_affiliation_strings":["Instituto Universitario para el Desarrollo Tecnol\u00f3gico y la Innovaci\u00f3n en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain"],"affiliations":[{"raw_affiliation_string":"Instituto Universitario para el Desarrollo Tecnol\u00f3gico y la Innovaci\u00f3n en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain","institution_ids":["https://openalex.org/I119635470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060361189","display_name":"Miguel A. Ferrer","orcid":"https://orcid.org/0000-0002-2924-1225"},"institutions":[{"id":"https://openalex.org/I119635470","display_name":"Universidad de Las Palmas de Gran Canaria","ror":"https://ror.org/01teme464","country_code":"ES","type":"education","lineage":["https://openalex.org/I119635470"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel A. Ferrer","raw_affiliation_strings":["Instituto Universitario para el Desarrollo Tecnol\u00f3gico y la Innovaci\u00f3n en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain"],"affiliations":[{"raw_affiliation_string":"Instituto Universitario para el Desarrollo Tecnol\u00f3gico y la Innovaci\u00f3n en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain","institution_ids":["https://openalex.org/I119635470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026340083","display_name":"Robert Sabourin","orcid":"https://orcid.org/0000-0002-9098-1011"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Robert Sabourin","raw_affiliation_strings":["Laboratoire d'imagerie, de Vision et d'Intelligence Artificielle, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'imagerie, de Vision et d'Intelligence Artificielle, Universit\u00e9 du Qu\u00e9bec, Montr\u00e9al, QC, Canada","institution_ids":["https://openalex.org/I159129438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067646117"],"corresponding_institution_ids":["https://openalex.org/I119635470"],"apc_list":null,"apc_paid":null,"fwci":1.1824,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86212917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1147","last_page":"1152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9962999820709229,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9915000200271606,"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/signature","display_name":"Signature (topology)","score":0.7615315914154053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7605000734329224},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7520561218261719},{"id":"https://openalex.org/keywords/devanagari","display_name":"Devanagari","score":0.6546364426612854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597022771835327},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5140787363052368},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5140546560287476},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.493010014295578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44619259238243103},{"id":"https://openalex.org/keywords/signature-recognition","display_name":"Signature recognition","score":0.4367128312587738},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4271726906299591},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4156801998615265},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3307194113731384},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1425984501838684},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.11575615406036377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10618844628334045}],"concepts":[{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.7615315914154053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605000734329224},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7520561218261719},{"id":"https://openalex.org/C2780144916","wikidata":"https://www.wikidata.org/wiki/Q38592","display_name":"Devanagari","level":4,"score":0.6546364426612854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597022771835327},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5140787363052368},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5140546560287476},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.493010014295578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44619259238243103},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.4367128312587738},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4271726906299591},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4156801998615265},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3307194113731384},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1425984501838684},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.11575615406036377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10618844628334045},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2016.7899791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:accedacris.ulpgc.es:10553/37175","is_oa":false,"landing_page_url":"http://hdl.handle.net/10553/37175","pdf_url":null,"source":{"id":"https://openalex.org/S4306400136","display_name":"Acceda (Universidad de Las Palmas de Gran Canaria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings - International Conference on Pattern Recognition [ISSN 1051-4651], v. 0 (7899791), p. 1147-1152","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:accedacris.ulpgc.es:10553/74425","is_oa":false,"landing_page_url":"http://hdl.handle.net/10553/74425","pdf_url":null,"source":{"id":"https://openalex.org/S4306400136","display_name":"Acceda (Universidad de Las Palmas de Gran Canaria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2016 23Rd International Conference On Pattern Recognition (Icpr)[ISSN 1051-4651], p. 1147-1152, (2016)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320320967","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041"},{"id":"https://openalex.org/F4320327938","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W949755191","https://openalex.org/W1648388060","https://openalex.org/W2001913299","https://openalex.org/W2001946230","https://openalex.org/W2015043702","https://openalex.org/W2028832235","https://openalex.org/W2032821035","https://openalex.org/W2040453070","https://openalex.org/W2043023367","https://openalex.org/W2046016527","https://openalex.org/W2048103124","https://openalex.org/W2053438338","https://openalex.org/W2056112158","https://openalex.org/W2062219129","https://openalex.org/W2073008222","https://openalex.org/W2075069329","https://openalex.org/W2076377112","https://openalex.org/W2082199161","https://openalex.org/W2088777418","https://openalex.org/W2094739044","https://openalex.org/W2106285096","https://openalex.org/W2117283015","https://openalex.org/W2121439705","https://openalex.org/W2131991463","https://openalex.org/W2138510085","https://openalex.org/W2142069714","https://openalex.org/W2168115797","https://openalex.org/W2344608894","https://openalex.org/W2401347341","https://openalex.org/W2409323380","https://openalex.org/W2506760585","https://openalex.org/W6625020609","https://openalex.org/W6704353508","https://openalex.org/W6713123247"],"related_works":["https://openalex.org/W2558183247","https://openalex.org/W40542382","https://openalex.org/W2108136919","https://openalex.org/W4234068703","https://openalex.org/W1909427334","https://openalex.org/W1901876059","https://openalex.org/W2147625760","https://openalex.org/W82288626","https://openalex.org/W2373628019","https://openalex.org/W2070451454"],"abstract_inverted_index":{"As":[0],"an":[1],"emerging":[2],"issue,":[3],"multi-script":[4],"signature":[5,29,113,121,131,172],"verification":[6,173],"is":[7,74,169],"a":[8,99,118],"recent":[9],"challenge":[10],"for":[11,60,87],"current":[12],"Automatic":[13],"Signature":[14],"Verification":[15],"(ASV)":[16],"systems.":[17],"Relevant":[18],"differences":[19],"are":[20,85,125],"presented":[21],"in":[22,32,72,162,171],"the":[23,28,41,49,75,78,80,89,91,105,112,146,165],"morphology":[24],"and":[25,140],"lexicon":[26],"of":[27,40,51,64,82,159],"images":[30,114],"written":[31,161],"different":[33,136,163],"scripts,":[34],"such":[35],"as":[36],"used":[37,86,115],"symbols,":[38],"shape":[39],"signatures,":[42,154],"legibility,":[43],"etc.":[44],"These":[45],"peculiarities":[46],"could":[47],"reduce":[48],"success":[50],"ASV":[52,73],"systems,":[53],"especially":[54],"those":[55],"which":[56,149],"were":[57],"originally":[58],"designed":[59],"only":[61],"one":[62,67],"kind":[63],"script.":[65],"However,":[66],"common":[68],"feature":[69],"among":[70],"scripts":[71],"fact":[76],"that":[77,84,145],"greater":[79],"number":[81],"signatures":[83,160],"training,":[88],"better":[90],"expected":[92],"performance.":[93],"In":[94],"this":[95],"work,":[96],"we":[97],"propose":[98],"method":[100],"inspired":[101],"by":[102,127],"observations":[103],"from":[104,134],"neuromotor":[106],"equivalence":[107],"theory":[108],"to":[109,116,151],"artificially":[110],"enlarge":[111],"train":[117],"state-of-the-art":[119],"static":[120,130,153],"classifier.":[122],"Experimental":[123],"results":[124,143],"obtained":[126],"using":[128],"three":[129],"datasets":[132],"derived":[133],"completely":[135],"scripts:":[137],"Western,":[138],"Bengali":[139],"Devanagari.":[141],"Our":[142],"suggest":[144],"cognitive-inspired":[147],"model,":[148],"aims":[150],"duplicate":[152],"tends":[155],"toward":[156],"intra-class":[157],"variability":[158],"scripts;":[164],"model's":[166],"beneficial":[167],"impact":[168],"seen":[170],"tests.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
