{"id":"https://openalex.org/W4402402783","doi":"https://doi.org/10.1109/ialp63756.2024.10661155","title":"Threshold Determination for Chinese Character Image Processing in Multimodal Information Fusion","display_name":"Threshold Determination for Chinese Character Image Processing in Multimodal Information Fusion","publication_year":2024,"publication_date":"2024-08-04","ids":{"openalex":"https://openalex.org/W4402402783","doi":"https://doi.org/10.1109/ialp63756.2024.10661155"},"language":"en","primary_location":{"id":"doi:10.1109/ialp63756.2024.10661155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp63756.2024.10661155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Asian Language Processing (IALP)","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/A5044470498","display_name":"Li Weigang","orcid":"https://orcid.org/0000-0003-1826-1850"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Li Weigang","raw_affiliation_strings":["University of Brasilia,Computer Science Department,Bras&#x00ED;lia,Brazil"],"affiliations":[{"raw_affiliation_string":"University of Brasilia,Computer Science Department,Bras&#x00ED;lia,Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062970295","display_name":"Rafael Marconi Ramos","orcid":"https://orcid.org/0000-0001-7422-3213"},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael Marconi Ramos","raw_affiliation_strings":["University of Brasilia,Computer Science Department,Bras&#x00ED;lia,Brazil"],"affiliations":[{"raw_affiliation_string":"University of Brasilia,Computer Science Department,Bras&#x00ED;lia,Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066769050","display_name":"Pedro Brom","orcid":null},"institutions":[{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Carvalho Brom","raw_affiliation_strings":["University of Brasilia,Computer Science Department,Bras&#x00ED;lia,Brazil"],"affiliations":[{"raw_affiliation_string":"University of Brasilia,Computer Science Department,Bras&#x00ED;lia,Brazil","institution_ids":["https://openalex.org/I150729083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044470498"],"corresponding_institution_ids":["https://openalex.org/I150729083"],"apc_list":null,"apc_paid":null,"fwci":0.7895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73073665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9750000238418579,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9750000238418579,"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":0.9681000113487244,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9643999934196472,"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":0.7290917634963989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6390794515609741},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6106883883476257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006585359573364},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5741389989852905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5012009143829346},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4813181161880493},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4493820071220398},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.44399896264076233},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.411364883184433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.129238098859787},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.056391507387161255}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7290917634963989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6390794515609741},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6106883883476257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006585359573364},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5741389989852905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5012009143829346},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4813181161880493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4493820071220398},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.44399896264076233},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.411364883184433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.129238098859787},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.056391507387161255},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp63756.2024.10661155","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp63756.2024.10661155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2142431032","https://openalex.org/W2889026234","https://openalex.org/W3032173757","https://openalex.org/W3033130864","https://openalex.org/W3174396451","https://openalex.org/W3193300709","https://openalex.org/W3206873203","https://openalex.org/W4322775461","https://openalex.org/W4366327277","https://openalex.org/W4384918448","https://openalex.org/W4385245566","https://openalex.org/W4391660249","https://openalex.org/W4392688329","https://openalex.org/W4402082933","https://openalex.org/W4409204162","https://openalex.org/W6753923132","https://openalex.org/W6779400233","https://openalex.org/W6852232343","https://openalex.org/W6854866820"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Multimodal":[0],"information":[1,135],"fusion":[2,136],"is":[3],"gaining":[4],"traction":[5],"in":[6,95,141],"Chinese":[7,53,138],"Natural":[8],"Language":[9],"Processing":[10],"(CNLP),":[11],"particularly":[12],"for":[13,84,115,121,129,137],"phono-semantic":[14],"compound":[15],"comprehension":[16],"and":[17,31,70,91,102,118],"character":[18,35,85,139],"identification.":[19],"Existing":[20],"research":[21],"often":[22],"overlooks":[23],"the":[24,96,131],"impact":[25],"of":[26,52,133],"varying":[27,56],"pixel":[28,62],"sizes,":[29],"scales,":[30],"stroke":[32,57,77,89],"counts":[33,58],"on":[34,88],"image":[36,104],"processing,":[37],"leading":[38],"to":[39,73],"potential":[40],"noise.":[41],"This":[42],"paper":[43],"addresses":[44],"this":[45],"gap":[46],"by":[47],"analyzing":[48],"our":[49],"prepared":[50],"dataset":[51],"characters":[54,75],"with":[55],"(1-64)":[59],"at":[60],"different":[61],"resolutions":[63],"(12,":[64],"16,":[65],"24,":[66],"35,":[67],"60,":[68],"96)":[69],"including":[71],"up":[72],"100":[74],"per":[76],"count.":[78],"We":[79],"identify":[80],"a":[81,93],"processing":[82],"threshold":[83],"images":[86,117],"based":[87],"count":[90],"resolution,":[92],"first":[94],"field.":[97],"Using":[98],"Euclidean":[99],"near-graphic":[100],"similarity":[101,106],"ResNet50":[103],"embedding":[105],"analyses,":[107],"we":[108],"establish":[109],"thresholds":[110],"such":[111],"as":[112],"12":[113],"strokes":[114,120],"16-pixel":[116],"26":[119],"24-pixel":[122],"images.":[123],"These":[124],"findings":[125],"offer":[126],"valuable":[127],"insights":[128],"enhancing":[130],"robustness":[132],"multimodal":[134],"recognition":[140],"NLP.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
