{"id":"https://openalex.org/W2291416174","doi":"https://doi.org/10.1109/icsipa.2015.7412199","title":"Lanna Dharma handwritten character recognition on palm leaves manuscript based on Wavelet transform","display_name":"Lanna Dharma handwritten character recognition on palm leaves manuscript based on Wavelet transform","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2291416174","doi":"https://doi.org/10.1109/icsipa.2015.7412199","mag":"2291416174"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2015.7412199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2015.7412199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","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/A5003147055","display_name":"Papangkorn Inkeaw","orcid":"https://orcid.org/0000-0002-3630-1564"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Papangkorn Inkeaw","raw_affiliation_strings":["Department of Computer Science, Chiang Mai University, Chiang Mai, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041287196","display_name":"Chutima Chueaphun","orcid":null},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chutima Chueaphun","raw_affiliation_strings":["Department of Computer Science, Chiang Mai University, Chiang Mai, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072224648","display_name":"Jeerayut Chaijaruwanich","orcid":null},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jeerayut Chaijaruwanich","raw_affiliation_strings":["Chiang Mai University, Chiang Mai, TH"],"affiliations":[{"raw_affiliation_string":"Chiang Mai University, Chiang Mai, TH","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068550642","display_name":"Atcharin Klomsae","orcid":"https://orcid.org/0000-0001-9754-9726"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Atcharin Klomsae","raw_affiliation_strings":["Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043447596","display_name":"Sanparith Marukatat","orcid":"https://orcid.org/0000-0002-8508-8544"},"institutions":[{"id":"https://openalex.org/I14316845","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91","country_code":"TH","type":"government","lineage":["https://openalex.org/I1332092204","https://openalex.org/I14316845"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sanparith Marukatat","raw_affiliation_strings":["National Electronics and Computer Technology Center, Pathum Thani, Thailand"],"affiliations":[{"raw_affiliation_string":"National Electronics and Computer Technology Center, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I14316845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003147055"],"corresponding_institution_ids":["https://openalex.org/I48076826"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80059294,"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":"253","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9932000041007996,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9909999966621399,"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/dharma","display_name":"Dharma","score":0.8390698432922363},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.6729900240898132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6722890138626099},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6468746662139893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6140769720077515},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5581440329551697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4719235897064209},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4176870882511139},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3277401924133301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20497402548789978},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1258666217327118},{"id":"https://openalex.org/keywords/buddhism","display_name":"Buddhism","score":0.06230166554450989},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0603766143321991},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.05660295486450195}],"concepts":[{"id":"https://openalex.org/C2777168331","wikidata":"https://www.wikidata.org/wiki/Q134293","display_name":"Dharma","level":3,"score":0.8390698432922363},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.6729900240898132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6722890138626099},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6468746662139893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140769720077515},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5581440329551697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4719235897064209},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4176870882511139},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3277401924133301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20497402548789978},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1258666217327118},{"id":"https://openalex.org/C75699723","wikidata":"https://www.wikidata.org/wiki/Q748","display_name":"Buddhism","level":2,"score":0.06230166554450989},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0603766143321991},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.05660295486450195},{"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/icsipa.2015.7412199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2015.7412199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321529","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25"},{"id":"https://openalex.org/F4320327548","display_name":"Royal Golden Jubilee (RGJ) Ph.D. Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W1489213177","https://openalex.org/W1533162639","https://openalex.org/W1567187141","https://openalex.org/W2043329917","https://openalex.org/W2046485094","https://openalex.org/W2060383468","https://openalex.org/W2062024414","https://openalex.org/W2122195227","https://openalex.org/W2125628918","https://openalex.org/W4246377848","https://openalex.org/W4255137765","https://openalex.org/W6608862822"],"related_works":["https://openalex.org/W2541950815","https://openalex.org/W1577789985","https://openalex.org/W810659553","https://openalex.org/W2163073107","https://openalex.org/W2037328875","https://openalex.org/W2148116311","https://openalex.org/W2105354826","https://openalex.org/W2154594171","https://openalex.org/W1907725770","https://openalex.org/W2484546353"],"abstract_inverted_index":{"Lanna":[0,20,67,83,112],"Dharma":[1,21,68,82,113],"alphabet":[2],"is":[3,22,54,89,123,185],"used":[4],"in":[5,8,24,119],"the":[6,9,43,57,92,106,120,181],"past":[7],"North":[10],"of":[11,18,26,56,198],"Thailand,":[12],"mainly":[13],"for":[14,66,111,205,209,214],"religious":[15],"communication.":[16],"Most":[17],"handwritten":[19,50,69,99,114],"found":[23],"form":[25],"old":[27],"palm":[28,73],"leaves":[29,74],"manuscripts.":[30],"These":[31],"documents":[32],"have":[33],"not":[34],"been":[35],"properly":[36],"preserved,":[37],"still":[38],"unprotected":[39],"and":[40,133,190,212],"damaged":[41],"by":[42,164],"time.":[44],"To":[45],"preserve":[46],"these":[47],"valuable":[48],"documents,":[49],"optical":[51],"character":[52,70,84,134,140,169],"recognition":[53,71,85,170,196],"one":[55],"first":[58,117],"choices.":[59],"This":[60,101],"paper":[61],"proposes":[62],"an":[63],"efficient":[64],"method":[65,94,122,151],"from":[72,86],"manuscript":[75],"image.":[76],"In":[77],"recent":[78],"years,":[79],"research":[80,102],"towards":[81],"printed":[87],"document":[88],"proposed.":[90],"However,":[91],"proposed":[93,121],"cannot":[95],"be":[96],"applied":[97],"to":[98,104],"documents.":[100],"aims":[103],"compare":[105],"different":[107],"feature":[108,145,149,159,183,193],"extraction":[109,150,160,184],"methods":[110,161],"recognition.":[115],"The":[116,136,176,195],"step":[118],"image":[124,141],"preprocessing":[125],"that":[126,180],"binarized,":[127],"enhanced,":[128],"line":[129],"segmented,":[130],"level":[131],"segmented":[132],"segmented.":[135],"next":[137],"step,":[138],"each":[139],"was":[142],"extracted":[143],"as":[144],"vector":[146],"using":[147,172],"various":[148],"based":[152],"on":[153,168],"Wavelet":[154],"transform.":[155],"Then":[156],"several":[157],"alternative":[158],"were":[162],"compared":[163],"evaluating":[165],"their":[166],"effect":[167],"performance":[171],"K-Nearest":[173],"Neighbor":[174],"algorithm.":[175],"experimental":[177],"results":[178],"show":[179],"best":[182],"2D,":[186],"1D":[187],"wavelet":[188],"transform":[189],"region":[191],"properties":[192],"extraction.":[194],"rates":[197],"10-fold":[199],"crosses":[200],"validation":[201],"are":[202],"93.22":[203],"%":[204],"upper":[206],"level,":[207,211],"95.48%":[208],"middle":[210],"97.77%":[213],"lower":[215],"level.":[216]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}