{"id":"https://openalex.org/W2158263882","doi":"https://doi.org/10.1109/icpr.2002.1047437","title":"Optimized Gabor filter based feature extraction for character recognition","display_name":"Optimized Gabor filter based feature extraction for character recognition","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2158263882","doi":"https://doi.org/10.1109/icpr.2002.1047437","mag":"2158263882"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5079773457","display_name":"Xuewen Wang","orcid":"https://orcid.org/0000-0001-6028-9430"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuewen Wang","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of E.E, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of E.E, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111444853","display_name":"Xiaoqing Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Ding","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of E.E, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of E.E, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003223415","display_name":"Changsong Liu","orcid":"https://orcid.org/0000-0003-1009-1367"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsong Liu","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of E.E, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of E.E, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079773457"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.1352,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88532865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"223","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9939000010490417,"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":0.9939000010490417,"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/T13579","display_name":"Image and Video Stabilization","score":0.9819999933242798,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7767038345336914},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.7569477558135986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7413080334663391},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7184946537017822},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6967860460281372},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6607754826545715},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6329280138015747},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6069697141647339},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5620450377464294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5056602954864502},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.44471362233161926},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.428560346364975},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.42777392268180847},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30427947640419006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.260638028383255},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.12973394989967346}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7767038345336914},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.7569477558135986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7413080334663391},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7184946537017822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6967860460281372},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6607754826545715},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6329280138015747},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6069697141647339},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5620450377464294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5056602954864502},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.44471362233161926},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.428560346364975},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.42777392268180847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30427947640419006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.260638028383255},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.12973394989967346},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1047437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1600276254","https://openalex.org/W1984368305","https://openalex.org/W2006500012","https://openalex.org/W2017963661","https://openalex.org/W2026374882","https://openalex.org/W2040193698","https://openalex.org/W2049694710","https://openalex.org/W2097405263","https://openalex.org/W2130891382","https://openalex.org/W2148539800","https://openalex.org/W3015789953","https://openalex.org/W6674345943"],"related_works":["https://openalex.org/W1555939286","https://openalex.org/W2339449039","https://openalex.org/W1966600465","https://openalex.org/W2362414266","https://openalex.org/W2374104107","https://openalex.org/W2002325100","https://openalex.org/W2052662281","https://openalex.org/W2070838085","https://openalex.org/W2389030598","https://openalex.org/W2382852560"],"abstract_inverted_index":{"/spl":[0],"omega/This":[1],"paper":[2,71],"proposed":[3],"a":[4,33],"new":[5],"feature":[6,75],"extraction":[7,76],"method":[8,37,77,90],"for":[9,49,93],"Chinese":[10,30],"character":[11,31,109],"recognition":[12,110],"by":[13],"using":[14],"optimized":[15],"Gabor":[16,23,40,67],"filters.":[17],"Based":[18],"on":[19],"the":[20,26,47,55,64,74,80],"theory":[21],"of":[22,29,66,82],"filters":[24,41,68],"and":[25,101],"statistical":[27],"information":[28],"images,":[32,52],"simple":[34],"but":[35],"effective":[36],"to":[38,45,62,78,105],"design":[39],"was":[42],"developed.":[43],"Moreover,":[44],"improve":[46,79],"performances":[48],"low":[50,113],"quality":[51,114],"we":[53],"modified":[54],"non-linear":[56],"function":[57],"used":[58],"in":[59,112],"previous":[60],"research":[61],"regulate":[63],"outputs":[65],"adaptively.":[69],"This":[70],"also":[72],"meliorated":[73],"discriminability":[81],"histogram":[83],"features.":[84],"Experiments":[85],"had":[86],"shown":[87],"that":[88],"our":[89],"perform":[91],"excellently":[92],"images":[94],"with":[95],"noises,":[96],"backgrounds":[97],"or":[98,107,116],"stroke":[99],"distortions":[100],"can":[102],"be":[103],"applied":[104],"printed":[106],"handwritten":[108],"tasks":[111],"greyscale":[115],"binary":[117],"images.":[118]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
