{"id":"https://openalex.org/W2056077888","doi":"https://doi.org/10.1109/mipro.2014.6859742","title":"An efficient feature extraction method for segmented cursive characters recognition","display_name":"An efficient feature extraction method for segmented cursive characters recognition","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2056077888","doi":"https://doi.org/10.1109/mipro.2014.6859742","mag":"2056077888"},"language":"en","primary_location":{"id":"doi:10.1109/mipro.2014.6859742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipro.2014.6859742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","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/A5006909394","display_name":"Subhash Panwar","orcid":"https://orcid.org/0000-0002-3138-0072"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Subhash Panwar","raw_affiliation_strings":["Department of Computer Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India","Department of Computer Engineering, Malaviya National Institute of Technology Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I83205935"]},{"raw_affiliation_string":"Department of Computer Engineering, Malaviya National Institute of Technology Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050462733","display_name":"Neeta Nain","orcid":"https://orcid.org/0000-0002-0550-0376"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeta Nain","raw_affiliation_strings":["Department of Computer Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India","Department of Computer Engineering, Malaviya National Institute of Technology Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I83205935"]},{"raw_affiliation_string":"Department of Computer Engineering, Malaviya National Institute of Technology Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006909394"],"corresponding_institution_ids":["https://openalex.org/I83205935"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69561032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1153","last_page":"1158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9966999888420105,"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":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.8506516814231873},{"id":"https://openalex.org/keywords/cursive","display_name":"Cursive","score":0.758960485458374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6977927684783936},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6433782577514648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6322875022888184},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.599170446395874},{"id":"https://openalex.org/keywords/intelligent-word-recognition","display_name":"Intelligent word recognition","score":0.5471634864807129},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5127240419387817},{"id":"https://openalex.org/keywords/document-processing","display_name":"Document processing","score":0.5038709044456482},{"id":"https://openalex.org/keywords/intelligent-character-recognition","display_name":"Intelligent character recognition","score":0.48873400688171387},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4867132008075714},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4764316976070404},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4519708454608917},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.45019295811653137},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43546587228775024},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.402370810508728},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2533840537071228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8506516814231873},{"id":"https://openalex.org/C2778943297","wikidata":"https://www.wikidata.org/wiki/Q1079418","display_name":"Cursive","level":2,"score":0.758960485458374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6977927684783936},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6433782577514648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6322875022888184},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.599170446395874},{"id":"https://openalex.org/C17649283","wikidata":"https://www.wikidata.org/wiki/Q6044162","display_name":"Intelligent word recognition","level":5,"score":0.5471634864807129},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5127240419387817},{"id":"https://openalex.org/C67905146","wikidata":"https://www.wikidata.org/wiki/Q5287646","display_name":"Document processing","level":2,"score":0.5038709044456482},{"id":"https://openalex.org/C44868376","wikidata":"https://www.wikidata.org/wiki/Q3099089","display_name":"Intelligent character recognition","level":4,"score":0.48873400688171387},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4867132008075714},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4764316976070404},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4519708454608917},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.45019295811653137},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43546587228775024},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.402370810508728},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2533840537071228},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mipro.2014.6859742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mipro.2014.6859742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W26450609","https://openalex.org/W202113625","https://openalex.org/W1503820821","https://openalex.org/W2007222021","https://openalex.org/W2017787659","https://openalex.org/W2019519548","https://openalex.org/W2046485094","https://openalex.org/W2051688318","https://openalex.org/W2071887232","https://openalex.org/W2100659887","https://openalex.org/W2105023627","https://openalex.org/W2107704060","https://openalex.org/W2114450867","https://openalex.org/W2126235919","https://openalex.org/W2140042332","https://openalex.org/W2147510700","https://openalex.org/W2154185090","https://openalex.org/W2158008371","https://openalex.org/W2158042789","https://openalex.org/W2159498975","https://openalex.org/W2170275199","https://openalex.org/W2303931467","https://openalex.org/W3023411394","https://openalex.org/W4285719527","https://openalex.org/W6608216332","https://openalex.org/W6675641930","https://openalex.org/W6678676519"],"related_works":["https://openalex.org/W2149231274","https://openalex.org/W4384296853","https://openalex.org/W2557740161","https://openalex.org/W4309724674","https://openalex.org/W2891374022","https://openalex.org/W3035903760","https://openalex.org/W1949598569","https://openalex.org/W3047617310","https://openalex.org/W1579052773","https://openalex.org/W2759755992"],"abstract_inverted_index":{"Handwritten":[0],"document":[1],"analysis":[2],"is":[3,56,115],"a":[4,74,83,92,118],"persistent":[5],"research":[6],"area":[7],"nowadays.":[8],"It":[9],"has":[10],"large":[11],"applications":[12],"in":[13,34,42],"various":[14,28],"image":[15],"processing":[16],"domain":[17],"as":[18],"human":[19],"computer":[20],"interaction,":[21],"machine":[22],"translation":[23],"and":[24,40,88,110],"automation":[25],"of":[26,52,59,63,85,91,107,141],"reading":[27],"scanned":[29],"images":[30],"for":[31,65,78],"handwritten":[32,53,79,108],"fields":[33],"forms,":[35],"postal":[36],"address":[37],"on":[38,104,117],"envelopes":[39],"amounts":[41],"banks":[43],"checks.":[44],"The":[45,112,125,135],"main":[46],"factor":[47],"which":[48],"influence":[49],"the":[50,57,86,96,139],"performance":[51],"text":[54],"recognition":[55,113],"selection":[58],"an":[60],"appropriate":[61],"set":[62],"features":[64,132],"representing":[66],"input":[67],"samples.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"propose":[73],"efficient":[75],"feature":[76],"vector":[77],"character":[80,93,98],"recognition,":[81],"using":[82],"hybrid":[84],"statistical":[87],"structural":[89],"properties":[90],"to":[94],"represent":[95],"particular":[97],"class.":[99],"Experiments":[100],"have":[101,127],"been":[102,128],"performed":[103],"standard":[105],"database":[106],"digits":[109],"letters.":[111],"accuracy":[114],"tested":[116],"Neural":[119],"Network":[120],"classifier":[121],"with":[122,130],"different":[123],"parameters.":[124],"results":[126,137],"compared":[129],"existing":[131],"extraction":[133],"algorithms.":[134],"comparative":[136],"shows":[138],"effectiveness":[140],"our":[142],"approach.":[143]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}