{"id":"https://openalex.org/W1970150518","doi":"https://doi.org/10.1142/s0218001493000613","title":"METHODOLOGIES FOR EVALUATING THINNING ALGORITHMS FOR CHARACTER RECOGNITION","display_name":"METHODOLOGIES FOR EVALUATING THINNING ALGORITHMS FOR CHARACTER RECOGNITION","publication_year":1993,"publication_date":"1993-10-01","ids":{"openalex":"https://openalex.org/W1970150518","doi":"https://doi.org/10.1142/s0218001493000613","mag":"1970150518"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001493000613","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001493000613","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5004421013","display_name":"R\u00e9jean Plamondon","orcid":"https://orcid.org/0000-0002-4903-7539"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"R\u00c9JEAN PLAMONDON","raw_affiliation_strings":["D\u00e9partement de G\u00e9nie \u00c9lectrique et G\u00e9nie Informatique, \u00c9cole Polytechnique de Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de G\u00e9nie \u00c9lectrique et G\u00e9nie Informatique, \u00c9cole Polytechnique de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059479627","display_name":"Ching Y. Suen","orcid":"https://orcid.org/0000-0003-1209-7631"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"CHING Y. SUEN","raw_affiliation_strings":["Department of Computer Science, Concordia University, Canada","Dept. of Computer Science, Concordia University, Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Dept. of Computer Science, Concordia University, Canada#TAB#","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001216907","display_name":"Marc Bourdeau","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"MARC BOURDEAU","raw_affiliation_strings":["D\u00e9partement de Math\u00e9matiques Appliqu\u00e9es \u00c9cole Polytechnique de Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de Math\u00e9matiques Appliqu\u00e9es \u00c9cole Polytechnique de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030122864","display_name":"Caroline Barri\u00e8re","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"CAROLINE BARRI\u00c8RE","raw_affiliation_strings":["D\u00e9partement de G\u00e9nie \u00c9lectrique et G\u00e9nie Informatique \u00c9cole Polytechnique de Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement de G\u00e9nie \u00c9lectrique et G\u00e9nie Informatique \u00c9cole Polytechnique de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004421013"],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":1.135,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.75787431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"07","issue":"05","first_page":"1247","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.5480999946594238,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.5480999946594238,"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/T10320","display_name":"Neural Networks and Applications","score":0.5397999882698059,"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/T12496","display_name":"Color perception and design","score":0.5368000268936157,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8018568754196167},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7396445274353027},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7117967009544373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6308947801589966},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5642478466033936},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5148114562034607},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5052645802497864},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.47714778780937195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4525845944881439},{"id":"https://openalex.org/keywords/thinning","display_name":"Thinning","score":0.44205284118652344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43069326877593994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4279436469078064},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4119420647621155},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.359127938747406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1263953447341919},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07955572009086609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018568754196167},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7396445274353027},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7117967009544373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6308947801589966},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5642478466033936},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5148114562034607},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5052645802497864},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.47714778780937195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4525845944881439},{"id":"https://openalex.org/C2781353100","wikidata":"https://www.wikidata.org/wiki/Q1266974","display_name":"Thinning","level":2,"score":0.44205284118652344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43069326877593994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4279436469078064},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4119420647621155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.359127938747406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1263953447341919},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07955572009086609},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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":2,"locations":[{"id":"doi:10.1142/s0218001493000613","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001493000613","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:publications.polymtl.ca:41828","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/41828/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article de revue"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2357280244","https://openalex.org/W4283836740","https://openalex.org/W1573752787","https://openalex.org/W2072657584","https://openalex.org/W2989655533","https://openalex.org/W2350998906","https://openalex.org/W2375223689","https://openalex.org/W2337991629","https://openalex.org/W4247499642","https://openalex.org/W2254626072"],"abstract_inverted_index":{"This":[0,60],"paper":[1],"investigates":[2],"three":[3],"different":[4],"methods":[5],"of":[6,19,28,71,79,83,94],"comparing":[7,66],"preference":[8,54],"structures":[9,55],"for":[10],"thinning":[11,80],"algorithms.":[12,81,113],"The":[13,24,100],"first":[14],"method":[15],"involves":[16],"a":[17,88,92,104],"series":[18],"experiments":[20],"with":[21],"human":[22,63,108],"subjects.":[23],"second":[25],"makes":[26],"use":[27],"neural":[29],"networks":[30],"and":[31,38,68],"the":[32,53,58,69,77,84],"third":[33],"is":[34,42],"based":[35],"on":[36],"dissimilarities":[37],"distance":[39],"measures":[40],"that":[41],"computer":[43],"generated.":[44],"Several":[45],"statistical":[46],"tests":[47],"have":[48],"been":[49],"performed":[50],"to":[51,75,110],"analyze":[52],"exhibited":[56],"by":[57],"data.":[59],"study":[61,102],"highlights":[62],"coherence":[64,109],"in":[65],"skeletons":[67,74],"novelty":[70],"using":[72],"reference":[73],"facilitate":[76],"evaluation":[78],"None":[82],"automatic":[85],"approaches":[86],"provides":[87],"useful":[89],"insight":[90],"although":[91],"measure":[93],"information":[95],"content":[96],"manifests":[97],"some":[98],"consistency.":[99],"overall":[101],"suggests":[103],"systematic":[105],"protocol":[106],"involving":[107],"evaluate":[111],"preprocessing":[112]},"counts_by_year":[{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
