{"id":"https://openalex.org/W2019514227","doi":"https://doi.org/10.1109/icip.2014.7025212","title":"Scene text recognition using sparse coding based features","display_name":"Scene text recognition using sparse coding based features","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2019514227","doi":"https://doi.org/10.1109/icip.2014.7025212","mag":"2019514227"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5100366134","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0003-0825-3400"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China","Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032628425","display_name":"Da\u2010Han Wang","orcid":"https://orcid.org/0000-0002-5901-0778"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da-Han Wang","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China","Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China","Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Center for Pattern Analysis and Machine Intelligence, Xiamen University, Xiamen, China#TAB#","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":null,"first_page":"1066","last_page":"1070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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":0.9983000159263611,"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":0.9980999827384949,"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/histogram","display_name":"Histogram","score":0.7398906946182251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317804098129272},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6981719136238098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6687376499176025},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6283525824546814},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5081048011779785},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.439247190952301},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43086960911750793},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.41529086232185364},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3670828342437744},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2654196619987488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14377838373184204}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7398906946182251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317804098129272},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6981719136238098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6687376499176025},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6283525824546814},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5081048011779785},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.439247190952301},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43086960911750793},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.41529086232185364},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3670828342437744},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2654196619987488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14377838373184204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":1,"locations":[{"id":"doi:10.1109/icip.2014.7025212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1569614731","https://openalex.org/W1607307044","https://openalex.org/W1770825568","https://openalex.org/W1989684337","https://openalex.org/W1998042868","https://openalex.org/W2012616030","https://openalex.org/W2016215417","https://openalex.org/W2049951199","https://openalex.org/W2069472161","https://openalex.org/W2112447569","https://openalex.org/W2115746737","https://openalex.org/W2128659236","https://openalex.org/W2129812935","https://openalex.org/W2135346934","https://openalex.org/W2140132917","https://openalex.org/W2158289097","https://openalex.org/W2160547390","https://openalex.org/W2161106546","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2171866629","https://openalex.org/W3144858519","https://openalex.org/W6634063554","https://openalex.org/W6636382570","https://openalex.org/W6649973027","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W2982240858","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W3004790527","https://openalex.org/W2067062989","https://openalex.org/W2080187108","https://openalex.org/W634011990"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,26,70],"propose":[4],"an":[5,82],"effective":[6],"scene":[7,133],"text":[8,134],"recognition":[9,87,135],"method":[10,136,140],"using":[11,33,56,114],"sparse":[12,47,61],"coding":[13],"based":[14],"features,":[15],"called":[16],"Histograms":[17,35],"of":[18,32,36,102],"Sparse":[19],"Codes":[20],"(HSC)":[21],"features.":[22,40],"For":[23,67],"character":[24,75],"detection,":[25],"use":[27],"the":[28,34,94,99,103,109,115,124,131,138,144],"HSC":[29,41],"features":[30,42],"instead":[31],"Oriented":[37],"Gradients":[38],"(HOG)":[39],"are":[43,52,112],"extracted":[44],"by":[45,91],"computing":[46],"codes":[48,62],"with":[49],"dictionaries,":[50],"which":[51,96],"learned":[53,113],"from":[54],"data":[55],"K-SVD,":[57],"and":[58,78,126,142],"aggregating":[59],"perpixel":[60],"to":[63,98],"form":[64],"local":[65],"histograms.":[66],"word":[68,95],"recognition,":[69],"integrate":[71],"multiple":[72],"cues":[73],"including":[74],"detection":[76],"scores":[77],"geometric":[79],"contexts":[80],"in":[81,108],"objective":[83,104,110],"function.":[84,105],"The":[85,106],"final":[86],"result":[88],"is":[89],"obtained":[90],"searching":[92],"for":[93],"corresponds":[97],"maximum":[100],"value":[101],"parameters":[107],"function":[111],"Minimum":[116],"Classification":[117],"Error":[118],"(MCE)":[119],"training":[120],"method.":[121],"Experiments":[122],"on":[123],"ICDAR2003":[125],"SVT":[127],"datasets":[128],"demonstrate":[129],"that":[130],"HSC-based":[132],"outperforms":[137],"HOG-based":[139],"significantly":[141],"achieves":[143],"state-of-the-art":[145],"performance.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
