{"id":"https://openalex.org/W2146677445","doi":"https://doi.org/10.1109/icdar.1995.598972","title":"Parameter reduction and personalized parameter selection for automatic signature verification","display_name":"Parameter reduction and personalized parameter selection for automatic signature verification","publication_year":2002,"publication_date":"2002-11-19","ids":{"openalex":"https://openalex.org/W2146677445","doi":"https://doi.org/10.1109/icdar.1995.598972","mag":"2146677445"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.1995.598972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.1995.598972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Document Analysis and Recognition","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/A5021701940","display_name":"Fabian Bauer","orcid":"https://orcid.org/0000-0002-0948-9637"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"F. Bauer","raw_affiliation_strings":["Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, France"],"affiliations":[{"raw_affiliation_string":"Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048060489","display_name":"Brigitte Wirtz","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"B. Wirtz","raw_affiliation_strings":["Central Research and Development, Human Machine Interaction, Input Devices, Siemens AG, Munchen, Germany"],"affiliations":[{"raw_affiliation_string":"Central Research and Development, Human Machine Interaction, Input Devices, Siemens AG, Munchen, Germany","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021701940"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6976,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.72171983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"183","last_page":"186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922999739646912,"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":0.9886999726295471,"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/computer-science","display_name":"Computer science","score":0.6779526472091675},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6234169602394104},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5694552063941956},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5603811740875244},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4908490777015686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47631558775901794},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4689495265483856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42913708090782166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3988172709941864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20422038435935974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779526472091675},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6234169602394104},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5694552063941956},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5603811740875244},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4908490777015686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47631558775901794},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4689495265483856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42913708090782166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3988172709941864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20422038435935974},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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":[{"id":"doi:10.1109/icdar.1995.598972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.1995.598972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 3rd International Conference on Document Analysis and Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W598657982","https://openalex.org/W1974542028","https://openalex.org/W2025313164","https://openalex.org/W2062219129","https://openalex.org/W2147487098","https://openalex.org/W2480610609","https://openalex.org/W2488586679","https://openalex.org/W6722775846"],"related_works":["https://openalex.org/W1671124163","https://openalex.org/W2168674042","https://openalex.org/W2535275505","https://openalex.org/W3030774134","https://openalex.org/W2104499293","https://openalex.org/W4205762803","https://openalex.org/W2102771100","https://openalex.org/W1742524526","https://openalex.org/W2535856026","https://openalex.org/W2265065644"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,43,76],"signature":[4],"verification":[5],"system":[6,92],"based":[7],"on":[8,32],"84":[9],"personally":[10],"selected":[11],"parameters.":[12],"An":[13],"initial":[14],"set":[15,36],"of":[16,39,50],"300":[17],"parameters":[18,64],"is":[19,30],"first":[20],"reduced":[21,34],"globally":[22],"by":[23,37],"statistical":[24],"methods.":[25],"A":[26,79],"personalized":[27,47,63],"parameter":[28,35,48,55],"selection":[29,56],"performed":[31],"the":[33,86],"use":[38],"several":[40],"norms":[41,69],"and":[42,70,85],"linear":[44],"classifier.":[45],"The":[46],"sets":[49],"different":[51,68],"signers":[52],"justify":[53],"that":[54],"should":[57],"be":[58],"personalized.":[59],"Verification":[60],"results":[61,73,87],"for":[62,67,81],"are":[65,93],"given":[66],"compared":[71],"to":[72],"achieved":[74,88],"with":[75,89],"function-based":[77],"system.":[78],"method":[80],"combining":[82],"both":[83],"approaches":[84],"this":[90],"extended":[91],"presented":[94],"as":[95],"well.":[96]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
