{"id":"https://openalex.org/W2094680710","doi":"https://doi.org/10.1145/1741906.1742047","title":"An improved license plate extraction technique based on gradient and prolonged Haar wavelet analysis","display_name":"An improved license plate extraction technique based on gradient and prolonged Haar wavelet analysis","publication_year":2010,"publication_date":"2010-02-26","ids":{"openalex":"https://openalex.org/W2094680710","doi":"https://doi.org/10.1145/1741906.1742047","mag":"2094680710"},"language":"en","primary_location":{"id":"doi:10.1145/1741906.1742047","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","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":null,"display_name":"C. Paunwala","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C. Paunwala","raw_affiliation_strings":["Sarvajanik college of Engg. &amp; Tech"],"affiliations":[{"raw_affiliation_string":"Sarvajanik college of Engg. &amp; Tech","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008228550","display_name":"Suprava Patnaik","orcid":"https://orcid.org/0000-0002-7068-5960"},"institutions":[{"id":"https://openalex.org/I4210120810","display_name":"National Institute of Technology","ror":"https://ror.org/02xqkcw08","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Patnaik","raw_affiliation_strings":["S. V. National Inst. of Tech"],"affiliations":[{"raw_affiliation_string":"S. V. National Inst. of Tech","institution_ids":["https://openalex.org/I4210120810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6086,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86318179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"618","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":1.0,"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/T12707","display_name":"Vehicle License Plate Recognition","score":1.0,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9664000272750854,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9642999768257141,"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/license","display_name":"License","score":0.8681837320327759},{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.7812936305999756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.689713716506958},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6644524931907654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.636431872844696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301860809326172},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6165961027145386},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5695464015007019},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5545446872711182},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.46584996581077576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.465844988822937},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45334765315055847},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4497777819633484},{"id":"https://openalex.org/keywords/haar-like-features","display_name":"Haar-like features","score":0.4113713502883911},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2764613628387451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12912964820861816},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.07575559616088867}],"concepts":[{"id":"https://openalex.org/C2780560020","wikidata":"https://www.wikidata.org/wiki/Q79719","display_name":"License","level":2,"score":0.8681837320327759},{"id":"https://openalex.org/C2780423554","wikidata":"https://www.wikidata.org/wiki/Q766198","display_name":"Haar wavelet","level":5,"score":0.7812936305999756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.689713716506958},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6644524931907654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.636431872844696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301860809326172},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6165961027145386},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5695464015007019},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5545446872711182},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.46584996581077576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.465844988822937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45334765315055847},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4497777819633484},{"id":"https://openalex.org/C123134398","wikidata":"https://www.wikidata.org/wiki/Q2493819","display_name":"Haar-like features","level":5,"score":0.4113713502883911},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2764613628387451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12912964820861816},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.07575559616088867},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1741906.1742047","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1741906.1742047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference and Workshop on Emerging Trends in Technology","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":11,"referenced_works":["https://openalex.org/W1540167427","https://openalex.org/W1608822852","https://openalex.org/W1992644725","https://openalex.org/W2132984323","https://openalex.org/W2133059825","https://openalex.org/W2135449683","https://openalex.org/W2143756619","https://openalex.org/W2147409386","https://openalex.org/W2147671859","https://openalex.org/W2541415372","https://openalex.org/W2546309131"],"related_works":["https://openalex.org/W2531397906","https://openalex.org/W2366623948","https://openalex.org/W2377605153","https://openalex.org/W2545237249","https://openalex.org/W2606870530","https://openalex.org/W2100447037","https://openalex.org/W1520315596","https://openalex.org/W2559770216","https://openalex.org/W2559922257","https://openalex.org/W2036038238"],"abstract_inverted_index":{"In":[0],"a":[1,21],"vehicle":[2],"license":[3,22,40,94,105,110,145],"plate":[4,7,23,41,95,106,111],"extraction":[5],"system,":[6],"region":[8,42,143],"detection":[9,24,61],"is":[10,43,62,107,112],"the":[11,15,39,78,142],"key":[12],"step":[13],"before":[14],"final":[16],"recognition.":[17],"This":[18],"paper":[19],"presents":[20],"algorithm":[25],"from":[26,114,120],"complex":[27],"background":[28],"based":[29],"on":[30],"gradient":[31,47],"analysis":[32,48],"and":[33,49,109,139],"prolonged":[34,72],"haar":[35,73,81],"wavelet":[36,74],"transform.":[37],"First":[38],"approximately":[44],"detected":[45,108],"using":[46,64,71,97],"top":[50],"hat":[51],"transformation":[52],"of":[53,68,80,87,93,104,144],"horizontal":[54],"projection":[55],"by":[56,70],"choosing":[57],"appropriate":[58],"threshold.":[59],"Accurate":[60],"obtained":[63],"multi":[65],"resolution":[66],"feature":[67],"candidates":[69],"transformation.":[75],"Due":[76],"to":[77,89],"limitation":[79],"wavelet,":[82],"we":[83],"use":[84],"expanded":[85],"version":[86],"it":[88],"get":[90],"better":[91],"location":[92],"without":[96],"morphological":[98],"operations.":[99],"Finally,":[100],"accurate":[101],"vertical":[102],"position":[103],"extracted":[113],"image.":[115],"The":[116,131],"test":[117],"images":[118],"taken":[119],"various":[121],"scenes":[122],"were":[123],"employed,":[124],"including":[125],"diverse":[126],"angles,":[127],"different":[128],"lightening":[129],"conditions.":[130],"experiments":[132],"shows":[133],"that":[134],"proposed":[135],"method":[136],"can":[137],"quickly":[138],"correctly":[140],"detect":[141],"plate.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
