乐胖代购免代理版

{"id":"https://openalex.org/W2104094307","doi":"https://doi.org/10.1109/iwfhr.2004.92","title":"Selection of Points for On-Line Signature Comparison","display_name":"Selection of Points for On-Line Signature Comparison","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2104094307","doi":"https://doi.org/10.1109/iwfhr.2004.92","mag":"2104094307"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwfhr.2004.92","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5027401592","display_name":"M. Wirotius","orcid":null},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Wirotius","raw_affiliation_strings":["Laboratoire d'Informatique, Universit\u00e9 de Tours, France#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique, Universit\u00e9 de Tours, France#TAB#","institution_ids":["https://openalex.org/I110017253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082792285","display_name":"Jean-Yves Ramel","orcid":"https://orcid.org/0000-0003-4427-4612"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-Y. Ramel","raw_affiliation_strings":["Laboratoire d'Informatique, Universit\u00e9 de Tours, France#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique, Universit\u00e9 de Tours, France#TAB#","institution_ids":["https://openalex.org/I110017253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088265113","display_name":"Nicole Vincent","orcid":"https://orcid.org/0000-0002-0151-0622"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"N. Vincent","raw_affiliation_strings":["Universit\u00e9 Paris-5"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-5","institution_ids":["https://openalex.org/I204730241"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.242,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":24,"citation_normalized_percentile":{"value":0.79017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"503","last_page":"508"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9999,"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":0.9999,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9942,"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":0.9924,"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":0.82982343},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic Time Warping","score":0.75068486},{"id":"https://openalex.org/keywords/signature-recognition","display_name":"Signature recognition","score":0.5902361},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting Recognition","score":0.50972813},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.46733344}],"concepts":[{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.82982343},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.75068486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424901},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.692901},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.5902361},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.50972813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5005183},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4921686},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.46733344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4449178},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43627512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4167007},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.31247532},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30639207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18937406},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13012537},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwfhr.2004.92","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":8,"referenced_works":["https://openalex.org/W2010190925","https://openalex.org/W2031480448","https://openalex.org/W2062219129","https://openalex.org/W2105662948","https://openalex.org/W2105689451","https://openalex.org/W2123690574","https://openalex.org/W2132353460","https://openalex.org/W2341171179"],"related_works":["https://openalex.org/W4385731201","https://openalex.org/W4288408129","https://openalex.org/W4234068703","https://openalex.org/W40542382","https://openalex.org/W2558183247","https://openalex.org/W2108136919","https://openalex.org/W2085760882","https://openalex.org/W2074035358","https://openalex.org/W1909427334","https://openalex.org/W1901876059"],"abstract_inverted_index":{"Authentication":[0],"based":[1,11],"on":[2,12],"handwritten":[3,113],"signature":[4,25,127],"is":[5,16,26,73],"the":[6,22,32,45,66,131,143,151,157],"most":[7],"accepted":[8],"authentication":[9,35,110],"system":[10],"biometry":[13],"because":[14,21],"it":[15,72],"easy":[17],"to":[18,43,49,82,85,100,139,147],"use":[19,23],"and":[20,55],"of":[24,28,34,47,103,126,156],"part":[27],"our":[29],"habits.":[30],"In":[31,137],"field":[33],"by":[36,111],"on-line":[37,112],"signature,":[38],"we":[39,120,129],"present":[40],"a":[41,87,101],"method":[42,92,102],"reduce":[44],"amount":[46],"data":[48,94,154],"be":[50],"stored":[51],"for":[52,93,109],"pattern":[53],"comparison":[54,105],"that":[56],"needs":[57],"few":[58],"processing.":[59],"Many":[60],"systems":[61],"described":[62],"in":[63,80],"literature":[64],"keep":[65],"whole":[67,152],"signature's":[68,88],"points":[69,155],"even":[70,76],"if":[71],"not":[74],"recommended,":[75],"advised":[77],"against":[78],"it,":[79],"order":[81,138],"avoid":[83],"forgers":[84],"obtain":[86],"pattern.":[89],"The":[90],"proposed":[91],"reduction":[95,124],"was":[96],"evaluated":[97],"with":[98,134,150],"respect":[99],"curve":[104],"very":[106],"often":[107],"used":[108],"signature:":[114],"dynamic":[115],"time":[116],"warping":[117],"(DTW).":[118],"After":[119],"have":[121],"presented":[122],"several":[123],"methods":[125],"data,":[128],"show":[130],"results":[132,144],"obtained":[133,149],"each":[135],"one.":[136],"evaluate":[140],"their":[141],"efficiency,":[142],"were":[145],"compared":[146],"those":[148],"coarse":[153],"signature.":[158]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2104094307","counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2024-12-09T01:37:16.341992","created_date":"2016-06-24"}