{"id":"https://openalex.org/W2129120170","doi":"https://doi.org/10.1109/icdar.2007.4378725","title":"Finger-Written Chinese Characters Recognition Using Hierarchical LDA","display_name":"Finger-Written Chinese Characters Recognition Using Hierarchical LDA","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2129120170","doi":"https://doi.org/10.1109/icdar.2007.4378725","mag":"2129120170"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4378725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4378725","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","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/A5101562721","display_name":"Degui Yang","orcid":"https://orcid.org/0000-0003-1604-9792"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"D. Yang","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China","School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056229788","display_name":"Longcun Jin","orcid":"https://orcid.org/0000-0002-1300-345X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"L. Jin","raw_affiliation_strings":["School of Electronics and Information, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054366826","display_name":"Li-Xin Zhen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L.-X. Zhen","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064523767","display_name":"Jianzhao Huang","orcid":"https://orcid.org/0000-0002-5256-7311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.-C. Huang","raw_affiliation_strings":["Motorola China Research Center, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Motorola China Research Center, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101562721"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24538745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9757999777793884,"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":0.7904921174049377},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7267221212387085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.658231258392334},{"id":"https://openalex.org/keywords/chinese-characters","display_name":"Chinese characters","score":0.6203891634941101},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5926723480224609},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4802582561969757},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4625818729400635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7904921174049377},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7267221212387085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.658231258392334},{"id":"https://openalex.org/C2781051154","wikidata":"https://www.wikidata.org/wiki/Q8201","display_name":"Chinese characters","level":2,"score":0.6203891634941101},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5926723480224609},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4802582561969757},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4625818729400635}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2007.4378725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4378725","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2035609259","https://openalex.org/W2040193698","https://openalex.org/W2123119958","https://openalex.org/W2144443709","https://openalex.org/W6678074473","https://openalex.org/W6681360343"],"related_works":["https://openalex.org/W2156856390","https://openalex.org/W1921169094","https://openalex.org/W2160698598","https://openalex.org/W1983848850","https://openalex.org/W32502520","https://openalex.org/W1809065030","https://openalex.org/W2380666260","https://openalex.org/W4232979854","https://openalex.org/W1996789526","https://openalex.org/W2023698157"],"abstract_inverted_index":{"In":[0],"our":[1,68],"camera":[2],"based":[3,42],"user":[4,6],"interface,":[5],"inputs":[7],"Chinese":[8,23],"characters":[9,20],"by":[10],"moving":[11],"fingertip":[12],"with":[13,29,74,86],"his/her":[14],"fingers.":[15],"Therefore,":[16],"we":[17,33],"call":[18],"those":[19],"\"finger\u00ad":[21],"written":[22],"characters\"":[24],"(FWCCs).":[25],"To":[26],"recognize":[27],"FWCCS":[28],"high":[30],"recognition":[31,64,71],"accuracy,":[32],"propose":[34],"a":[35,44],"new":[36],"method":[37,57,79],"to":[38],"discriminate":[39],"similar":[40,82],"FWCCs":[41],"on":[43],"two":[45],"stages":[46],"Linear":[47],"Discriminant":[48],"Analysis":[49],"(LDA)":[50],"architecture.":[51],"Experimental":[52],"results":[53],"show":[54],"the":[55,61,77],"proposed":[56,78],"is":[58],"useful":[59],"for":[60],"improvements":[62],"of":[63],"rate":[65],"and":[66],"outperforms":[67],"previous":[69],"hybrid":[70],"method.":[72],"Comparing":[73],"MQDF-based":[75],"method,":[76],"can":[80],"reach":[81],"classification":[83],"performance":[84],"but":[85],"much":[87],"less":[88],"storage":[89],"requirement.":[90]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
