{"id":"https://openalex.org/W2119522776","doi":"https://doi.org/10.1109/icpr.2008.4761614","title":"Double-edge-model based character stroke extraction from complex backgrounds","display_name":"Double-edge-model based character stroke extraction from complex backgrounds","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2119522776","doi":"https://doi.org/10.1109/icpr.2008.4761614","mag":"2119522776"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761614","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5025183770","display_name":"Jing Yu","orcid":"https://orcid.org/0000-0002-0500-1980"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Yu","raw_affiliation_strings":["Hanwang Technology, Beijing, China","Hanwang Technol., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanwang Technology, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Hanwang Technol., Beijing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784430","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-4087-3677"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Hanwang Technol., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Hanwang Technol., Beijing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103160858","display_name":"Changping Liu","orcid":"https://orcid.org/0009-0007-4205-4268"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changping Liu","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Hanwang Technol., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Hanwang Technol., Beijing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5213,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59479281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9932000041007996,"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":0.9883999824523926,"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/character","display_name":"Character (mathematics)","score":0.8210253715515137},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5617682337760925},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5422154664993286},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.531182050704956},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5162144303321838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39359715580940247},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3874042332172394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13179939985275269},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09217360615730286}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.8210253715515137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5617682337760925},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5422154664993286},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.531182050704956},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5162144303321838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39359715580940247},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3874042332172394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13179939985275269},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09217360615730286},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2008.4761614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761614","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.4015","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.4015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuBCT9.11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1974773732","https://openalex.org/W2027883219","https://openalex.org/W2119765017","https://openalex.org/W2130891382","https://openalex.org/W2133059825","https://openalex.org/W2145786073","https://openalex.org/W2149617283","https://openalex.org/W2153549362"],"related_works":["https://openalex.org/W4251972423","https://openalex.org/W1503216044","https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W2892704491","https://openalex.org/W2106936331","https://openalex.org/W1985626581"],"abstract_inverted_index":{"Global":[0],"gray-level":[1,10],"thresholding":[2,11,16,86],"techniques":[3,12],"such":[4,13],"as":[5,14],"Otsu\u2019s":[6],"method,":[7],"and":[8,87,98],"local":[9],"adaptive":[15],"method":[17,82,109],"are":[18,32],"powerful":[19],"in":[20,46,96],"extracting":[21],"character":[22,63,94,112],"objects":[23,113],"from":[24,70,114],"simple":[25],"or":[26,44,72],"slowly":[27],"varying":[28,42,74],"backgrounds.":[29,75],"However,":[30],"they":[31],"found":[33],"to":[34,58,61,91],"be":[35],"insufficient":[36],"when":[37],"the":[38,93,100,107],"backgrounds":[39,116],"include":[40],"sharply":[41,73],"contours":[43],"fonts":[45],"different":[47],"sizes.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,77],"propose":[53,78],"a":[54,79],"double-edge":[55],"model":[56],"insensitive":[57],"stroke":[59,68],"width":[60,69],"extract":[62,111],"strokes":[64],"with":[65,117],"an":[66],"unknown":[67],"complex":[71,115],"Also,":[76],"novel":[80],"postprocessing":[81],"combining":[83],"2-level":[84],"global":[85],"Canny":[88],"edge":[89],"detection":[90],"keep":[92],"object":[95],"integrality":[97],"remove":[99],"background":[101],"simultaneously.":[102],"Experiment":[103],"results":[104],"show":[105],"that":[106],"proposed":[108],"can":[110],"satisfactory":[118],"quality.":[119]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
