{"id":"https://openalex.org/W2767461870","doi":"https://doi.org/10.1109/icdsp.2017.8096038","title":"On the discrimination power of dynamic features for online signature","display_name":"On the discrimination power of dynamic features for online signature","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2767461870","doi":"https://doi.org/10.1109/icdsp.2017.8096038","mag":"2767461870"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2017.8096038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2017.8096038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Digital Signal Processing (DSP)","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/A5038662212","display_name":"Sandipan Pal","orcid":null},"institutions":[{"id":"https://openalex.org/I92864154","display_name":"University of Buckingham","ror":"https://ror.org/03kd28f18","country_code":"GB","type":"education","lineage":["https://openalex.org/I92864154"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sandipan Pal","raw_affiliation_strings":["Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom","institution_ids":["https://openalex.org/I92864154"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110817295","display_name":"Hisham Al-Assam","orcid":null},"institutions":[{"id":"https://openalex.org/I92864154","display_name":"University of Buckingham","ror":"https://ror.org/03kd28f18","country_code":"GB","type":"education","lineage":["https://openalex.org/I92864154"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hisham Al-Assam","raw_affiliation_strings":["Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom","institution_ids":["https://openalex.org/I92864154"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027301753","display_name":"Harin Sellahewa","orcid":null},"institutions":[{"id":"https://openalex.org/I92864154","display_name":"University of Buckingham","ror":"https://ror.org/03kd28f18","country_code":"GB","type":"education","lineage":["https://openalex.org/I92864154"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Harin Sellahewa","raw_affiliation_strings":["Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Applied Computing, University of Buckingham, Buckingham, United Kingdom","institution_ids":["https://openalex.org/I92864154"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038662212"],"corresponding_institution_ids":["https://openalex.org/I92864154"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15925236,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T11719","display_name":"Data Quality and Management","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.8252315521240234},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7352440357208252},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.691391110420227},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6462664008140564},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6453589200973511},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6286309957504272},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5781241655349731},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5343130826950073},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.46867093443870544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4606594443321228},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4494195580482483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3878931999206543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3784032464027405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3736526072025299},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17152610421180725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252315521240234},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7352440357208252},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.691391110420227},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6462664008140564},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6453589200973511},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6286309957504272},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5781241655349731},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5343130826950073},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.46867093443870544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4606594443321228},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4494195580482483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3878931999206543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3784032464027405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3736526072025299},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17152610421180725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2017.8096038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2017.8096038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 22nd International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:bear.buckingham.ac.uk:208","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196562","display_name":"Buckingham E-Archive of Research (University of Buckingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I92864154","host_organization_name":"University of Buckingham","host_organization_lineage":["https://openalex.org/I92864154"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1545724712","https://openalex.org/W1560013842","https://openalex.org/W1811982616","https://openalex.org/W1972682745","https://openalex.org/W1997383766","https://openalex.org/W1997460147","https://openalex.org/W2006043505","https://openalex.org/W2040320186","https://openalex.org/W2042093031","https://openalex.org/W2053438338","https://openalex.org/W2061828128","https://openalex.org/W2101626661","https://openalex.org/W2102882759","https://openalex.org/W2111514049","https://openalex.org/W2137725539","https://openalex.org/W2149340496","https://openalex.org/W2189414701","https://openalex.org/W2498266915","https://openalex.org/W2554783051"],"related_works":["https://openalex.org/W2074035358","https://openalex.org/W2883497455","https://openalex.org/W4288408129","https://openalex.org/W4385731201","https://openalex.org/W2930568688","https://openalex.org/W2158513701","https://openalex.org/W2717908993","https://openalex.org/W3009759344","https://openalex.org/W2104321465","https://openalex.org/W4250384982"],"abstract_inverted_index":{"The":[0,91],"mobile":[1,32],"market":[2],"has":[3],"taken":[4],"huge":[5],"leap":[6],"in":[7],"the":[8,13,46,75,85,95,100,107,114,121,131],"last":[9],"two":[10,101],"decades,":[11],"re-defining":[12],"rules":[14],"of":[15,29,129,133],"communication,":[16],"networking,":[17],"socializing":[18],"and":[19,23,78,139],"transactions":[20],"among":[21],"individuals":[22],"organizations.":[24],"Authentication":[25],"based":[26],"on":[27,31,44,74,81,84,99],"verification":[28,41],"signature":[30,40],"devices,":[33],"is":[34,67,97,117,136],"slowly":[35],"gaining":[36],"popularity.":[37],"Most":[38],"online":[39],"algorithms":[42],"focus":[43],"computing":[45],"global":[47],"Equal":[48,86],"Error":[49,87],"Rate":[50,88],"(EER)":[51,89],"across":[52],"all":[53],"users":[54],"for":[55,120],"a":[56,64],"dataset.":[57],"In":[58],"this":[59],"work,":[60],"contrary":[61],"to":[62,93],"such":[63],"representation,":[65],"it":[66,116],"proposed":[68],"that":[69,119],"there":[70],"are":[71],"user-specific":[72,79,134],"differences":[73,80],"combined":[76],"features":[77],"each":[82],"feature":[83],"values.":[90],"experiments":[92],"test":[94],"hypothesis":[96],"tested":[98],"publicly":[102],"available":[103],"benchmark":[104],"datasets":[105],"using":[106],"dynamic":[108],"time":[109],"warping":[110],"(DTW)":[111],"algorithm.":[112],"From":[113],"experiments,":[115],"observed":[118],"MCYT-100":[122],"dataset,":[123],"which":[124],"yields":[125],"an":[126],"overall":[127],"EER":[128,135],"8%,":[130],"range":[132],"between":[137],"0%":[138],"27%.":[140]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}