{"id":"https://openalex.org/W2332357856","doi":"https://doi.org/10.1109/iwbf.2016.7449686","title":"Investigating an objective measure of writer hesitation for forensic analysis of the handwritten signature","display_name":"Investigating an objective measure of writer hesitation for forensic analysis of the handwritten signature","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2332357856","doi":"https://doi.org/10.1109/iwbf.2016.7449686","mag":"2332357856"},"language":"en","primary_location":{"id":"doi:10.1109/iwbf.2016.7449686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2016.7449686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Biometrics and Forensics (IWBF)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5003704636","display_name":"Tasmina Islam","orcid":"https://orcid.org/0000-0002-6437-8251"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tasmina Islam","raw_affiliation_strings":["University of Kent, Kent, UK","School of Engineering and Digital Arts, University of Kent, Kent, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, Kent, UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"School of Engineering and Digital Arts, University of Kent, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108507324","display_name":"Michael Fairhurst","orcid":null},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Fairhurst","raw_affiliation_strings":["University of Kent, Kent, UK","School of Engineering and Digital Arts, University of Kent, Kent, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Kent, Kent, UK","institution_ids":["https://openalex.org/I20581793"]},{"raw_affiliation_string":"School of Engineering and Digital Arts, University of Kent, Kent, UK","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"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":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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9948999881744385,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9918000102043152,"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/handwriting","display_name":"Handwriting","score":0.907286524772644},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.8090460896492004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7778762578964233},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6477181315422058},{"id":"https://openalex.org/keywords/computer-forensics","display_name":"Computer forensics","score":0.5130049586296082},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49695518612861633},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4568323791027069},{"id":"https://openalex.org/keywords/forensic-science","display_name":"Forensic science","score":0.45343178510665894},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.42867618799209595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.377955824136734},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.26890265941619873},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20504114031791687}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.907286524772644},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.8090460896492004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7778762578964233},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6477181315422058},{"id":"https://openalex.org/C556601545","wikidata":"https://www.wikidata.org/wiki/Q878553","display_name":"Computer forensics","level":3,"score":0.5130049586296082},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49695518612861633},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4568323791027069},{"id":"https://openalex.org/C140505726","wikidata":"https://www.wikidata.org/wiki/Q495304","display_name":"Forensic science","level":2,"score":0.45343178510665894},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.42867618799209595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.377955824136734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26890265941619873},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20504114031791687},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwbf.2016.7449686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwbf.2016.7449686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Biometrics and Forensics (IWBF)","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":34,"referenced_works":["https://openalex.org/W284963064","https://openalex.org/W573381228","https://openalex.org/W653177062","https://openalex.org/W1549585655","https://openalex.org/W1553007063","https://openalex.org/W1557342394","https://openalex.org/W1902571382","https://openalex.org/W1968936448","https://openalex.org/W1973199860","https://openalex.org/W1994298149","https://openalex.org/W2007317883","https://openalex.org/W2033115890","https://openalex.org/W2040555273","https://openalex.org/W2059681549","https://openalex.org/W2062219129","https://openalex.org/W2073097308","https://openalex.org/W2097626704","https://openalex.org/W2100755159","https://openalex.org/W2100766951","https://openalex.org/W2103142272","https://openalex.org/W2131991463","https://openalex.org/W2142069714","https://openalex.org/W2142811685","https://openalex.org/W2144942180","https://openalex.org/W2146170206","https://openalex.org/W2171649812","https://openalex.org/W2171774493","https://openalex.org/W2214791906","https://openalex.org/W2889840846","https://openalex.org/W3113120654","https://openalex.org/W4247751993","https://openalex.org/W4285719527","https://openalex.org/W6675109562","https://openalex.org/W6877700203"],"related_works":["https://openalex.org/W2899363912","https://openalex.org/W2181728705","https://openalex.org/W2899058541","https://openalex.org/W4238452393","https://openalex.org/W2489557937","https://openalex.org/W4247205791","https://openalex.org/W2167366752","https://openalex.org/W3002268218","https://openalex.org/W2385667210","https://openalex.org/W3001565613"],"abstract_inverted_index":{"The":[0],"analysis":[1,82],"of":[2,8,47,71,83],"handwritten":[3,84],"signatures":[4,59,85],"is":[5],"an":[6],"area":[7],"ongoing":[9],"and":[10,16,60,73,77],"increasing":[11],"interest":[12],"for":[13,86],"both":[14],"biometrics":[15],"forensics":[17],"researchers.":[18],"Hesitation":[19],"in":[20,79],"writing":[21],"execution,":[22],"estimated":[23],"(to":[24],"a":[25],"large":[26],"degree)":[27],"through":[28],"human":[29],"inspection,":[30],"has":[31],"been":[32],"commonly":[33],"used":[34,54],"by":[35],"Forensic":[36,41],"Document":[37],"Examiners":[38],"(FDE)":[39],"or":[40,62,88],"Handwriting":[42],"Experts":[43],"(FHE)":[44],"as":[45],"one":[46],"the":[48,81],"important":[49],"features":[50],"which":[51],"may":[52],"be":[53],"to":[55],"distinguish":[56],"between":[57],"genuine":[58],"imitations":[61],"forgeries.":[63],"This":[64],"paper":[65],"introduces":[66],"some":[67],"simple":[68],"objective":[69],"measures":[70],"hesitation":[72],"investigates":[74],"their":[75],"reliability":[76],"efficacy":[78],"automating":[80],"forensic":[87],"biometric":[89],"applications.":[90]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
