{"id":"https://openalex.org/W2626394981","doi":"https://doi.org/10.1109/aiccsa.2016.7945644","title":"Text detection in natural scene images using two masks filtering","display_name":"Text detection in natural scene images using two masks filtering","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2626394981","doi":"https://doi.org/10.1109/aiccsa.2016.7945644","mag":"2626394981"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2016.7945644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5058396935","display_name":"Houssem Turki","orcid":"https://orcid.org/0009-0001-8472-3622"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Houssem Turki","raw_affiliation_strings":["REsearch Groups in Intelligent Machines, ENIS, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"REsearch Groups in Intelligent Machines, ENIS, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064452305","display_name":"Mohamed Ben Halima","orcid":"https://orcid.org/0000-0002-3224-2552"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Ben Halima","raw_affiliation_strings":["REsearch Groups in Intelligent Machines, ENIS, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"REsearch Groups in Intelligent Machines, ENIS, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053613060","display_name":"Adel M. Alimi","orcid":"https://orcid.org/0000-0002-0642-3384"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Adel M. Alimi","raw_affiliation_strings":["REsearch Groups in Intelligent Machines, ENIS, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"REsearch Groups in Intelligent Machines, ENIS, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.495,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":11,"citation_normalized_percentile":{"value":0.820272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":1.0,"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":1.0,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9989,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9943,"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/robustness","display_name":"Robustness","score":0.8071309},{"id":"https://openalex.org/keywords/text-detection","display_name":"Text Detection","score":0.73367476},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.45270157}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8071309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7438658},{"id":"https://openalex.org/C2983589003","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text detection","level":3,"score":0.73367476},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6413787},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6334253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5924695},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5484255},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48804867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46965992},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4539563},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.45270157},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.45116523},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18500638},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2016.7945644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":39,"referenced_works":["https://openalex.org/W1533873637","https://openalex.org/W1851269160","https://openalex.org/W1972065312","https://openalex.org/W1998042868","https://openalex.org/W2000037265","https://openalex.org/W2001851755","https://openalex.org/W2013577810","https://openalex.org/W2018451638","https://openalex.org/W2021345827","https://openalex.org/W2023415694","https://openalex.org/W2035058553","https://openalex.org/W2047547864","https://openalex.org/W2053155586","https://openalex.org/W2056435187","https://openalex.org/W2061802763","https://openalex.org/W2083868436","https://openalex.org/W2083954025","https://openalex.org/W2084465724","https://openalex.org/W2084594934","https://openalex.org/W2106389822","https://openalex.org/W2107996860","https://openalex.org/W2113295334","https://openalex.org/W2114668889","https://openalex.org/W2114701495","https://openalex.org/W2116901249","https://openalex.org/W2137718414","https://openalex.org/W2138584058","https://openalex.org/W2142159465","https://openalex.org/W2147245593","https://openalex.org/W2148214126","https://openalex.org/W2150259535","https://openalex.org/W2152335091","https://openalex.org/W2152878602","https://openalex.org/W2157965482","https://openalex.org/W2161969291","https://openalex.org/W2166949156","https://openalex.org/W2199687369","https://openalex.org/W2426148745","https://openalex.org/W66979570"],"related_works":["https://openalex.org/W4391249527","https://openalex.org/W4387168087","https://openalex.org/W4306707571","https://openalex.org/W4281724000","https://openalex.org/W4225321558","https://openalex.org/W3179897446","https://openalex.org/W3107028621","https://openalex.org/W2183246718","https://openalex.org/W161774015","https://openalex.org/W1557094818"],"abstract_inverted_index":{"Text":[0],"detection":[1,148],"in":[2,8,33,56,67],"natural":[3],"scenes":[4],"holds":[5],"great":[6],"importance":[7],"the":[9,38,57,68,89,92,100,152,157],"field":[10],"of":[11,19,37,79,91,102,122,134,159],"research":[12],"and":[13,30,60,151],"still":[14],"remains":[15],"a":[16,132],"challenge":[17],"because":[18],"size,":[20],"various":[21],"fonts,":[22],"line":[23],"orientation,":[24],"different":[25],"illumination":[26],"conditions,":[27],"weak":[28],"character":[29,103],"complex":[31,44],"background":[32],"image.":[34,93],"The":[35,114,137],"contribution":[36],"proposed":[39,138],"method":[40,139],"is":[41],"filtering":[42,50],"out":[43],"backgrounds":[45],"by":[46,99,119],"utilizing":[47],"two":[48],"masks":[49],"based":[51,105],"on":[52,106,143],"text":[53,81,86,123,147],"confidence":[54],"map":[55],"first":[58],"step":[59],"multi-channel":[61],"maximally":[62],"stable":[63],"extremal":[64],"regions":[65],"(MSERs)":[66],"second":[69],"step.":[70],"Both":[71],"steps":[72],"are":[73,97,117],"designed":[74],"to":[75,84],"enhancement,":[76],"maximize":[77],"capacity":[78],"zones":[80],"pixels":[82],"candidates":[83],"distinguish":[85],"boxes":[87],"from":[88],"rest":[90],"Then":[94],"non-text":[95],"components":[96],"filtered":[98],"classification":[101],"candidate":[104],"Support":[107],"Vector":[108],"Machines":[109],"(SVM)":[110],"using":[111],"HOG":[112],"features.":[113],"false":[115],"positives":[116],"eliminated":[118],"geometrical":[120],"properties":[121],"blocks.":[124],"Finally":[125],"we":[126],"apply":[127],"boundary":[128],"box":[129],"localization":[130],"after":[131],"stage":[133],"word":[135],"grouping.":[136],"has":[140],"been":[141],"evaluated":[142],"ICDAR":[144],"2013":[145],"scene":[146],"competition":[149],"dataset":[150],"encouraging":[153],"experiments":[154],"results":[155],"demonstrate":[156],"robustness":[158],"our":[160],"method.":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2626394981","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-01-18T04:19:05.418647","created_date":"2017-06-23"}