{"id":"https://openalex.org/W3145639251","doi":"https://doi.org/10.4018/ijcvip.2021040105","title":"An Approach to Recognize Handwritten Hindi Characters Using Substantial Zernike Moments With Genetic Algorithm","display_name":"An Approach to Recognize Handwritten Hindi Characters Using Substantial Zernike Moments With Genetic Algorithm","publication_year":2021,"publication_date":"2021-03-29","ids":{"openalex":"https://openalex.org/W3145639251","doi":"https://doi.org/10.4018/ijcvip.2021040105","mag":"3145639251"},"language":"en","primary_location":{"id":"doi:10.4018/ijcvip.2021040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2021040105","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-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/A5030966878","display_name":"Ajay Indian","orcid":"https://orcid.org/0000-0002-7261-164X"},"institutions":[{"id":"https://openalex.org/I76777374","display_name":"Central University of Rajasthan","ror":"https://ror.org/056y7zx62","country_code":"IN","type":"education","lineage":["https://openalex.org/I76777374"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ajay Indian","raw_affiliation_strings":["Central University of Rajasthan, Ajmer, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central University of Rajasthan, Ajmer, India","institution_ids":["https://openalex.org/I76777374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033900408","display_name":"Karamjit Bhatia","orcid":null},"institutions":[{"id":"https://openalex.org/I114796046","display_name":"Gurukul Kangri Vishwavidyalaya","ror":"https://ror.org/053xj0761","country_code":"IN","type":"education","lineage":["https://openalex.org/I114796046"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karamjit Bhatia","raw_affiliation_strings":["Gurukula Kangri Vishwavidyalaya, Haridwar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gurukula Kangri Vishwavidyalaya, Haridwar, India","institution_ids":["https://openalex.org/I114796046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3769,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.583058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"2","first_page":"66","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940000176429749,"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/zernike-polynomials","display_name":"Zernike polynomials","score":0.9332236647605896},{"id":"https://openalex.org/keywords/velocity-moments","display_name":"Velocity Moments","score":0.8420110940933228},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6449565887451172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6142243146896362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6110295653343201},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6083270907402039},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.5560012459754944},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.542507529258728},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49466726183891296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4425245225429535},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4290162920951843},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.4163632392883301},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31154507398605347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29593563079833984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2369561791419983}],"concepts":[{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.9332236647605896},{"id":"https://openalex.org/C149539972","wikidata":"https://www.wikidata.org/wiki/Q7919290","display_name":"Velocity Moments","level":4,"score":0.8420110940933228},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6449565887451172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6142243146896362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6110295653343201},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6083270907402039},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.5560012459754944},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.542507529258728},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49466726183891296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4425245225429535},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4290162920951843},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.4163632392883301},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31154507398605347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29593563079833984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2369561791419983},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"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:10.4018/ijcvip.2021040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijcvip.2021040105","pdf_url":null,"source":{"id":"https://openalex.org/S4210177549","display_name":"International Journal of Computer Vision and Image Processing","issn_l":"2155-6989","issn":["2155-6989","2155-6997"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision and Image Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W78766501","https://openalex.org/W82855565","https://openalex.org/W1523963722","https://openalex.org/W1994136473","https://openalex.org/W2055783626","https://openalex.org/W2143286649","https://openalex.org/W2146880335","https://openalex.org/W2168508350","https://openalex.org/W2309746332","https://openalex.org/W2532559298","https://openalex.org/W2908704269","https://openalex.org/W2929592959","https://openalex.org/W2963123666","https://openalex.org/W3089007756"],"related_works":["https://openalex.org/W2372021815","https://openalex.org/W2360964508","https://openalex.org/W2122970665","https://openalex.org/W1596812724","https://openalex.org/W2086936614","https://openalex.org/W2168501771","https://openalex.org/W4321260167","https://openalex.org/W2765956955","https://openalex.org/W134722258","https://openalex.org/W3004984598"],"abstract_inverted_index":{"A":[0],"technique":[1,107],"to":[2,18,34,76],"recognize":[3],"off-line":[4],"handwritten":[5,143],"Hindi":[6,144],"character":[7,94],"is":[8,32,95,108,128,140],"suggested":[9],"by":[10,82],"employing":[11,83],"Zernike":[12,80,135],"complex":[13,136],"moments":[14,39,47,54,81,137],"like":[15],"a":[16,23,150,157],"tool":[17],"describe":[19],"the":[20,30,36,41,45,57,64,68,71,78,84,90,102,105,119,125,131,147],"characteristics":[21],"of":[22,70,92,104,121,133],"character.":[24],"Further,":[25,118],"an":[26],"algorithm":[27,86,154],"for":[28,123,142],"selecting":[29,124],"features":[31,127],"employed":[33],"identify":[35],"substantial":[37],"image":[38],"from":[40],"extracted":[42,46],"moments,":[43],"as":[44,156],"may":[48],"have":[49],"some":[50],"insignificant":[51],"ones.":[52],"Insignificant":[53],"can":[55,61],"increase":[56],"computational":[58],"time":[59],"and":[60,88,115,130],"also":[62],"degrade":[63],"classification":[65,91,158],"accuracy.":[66],"Thus,":[67],"objectives":[69],"study":[72],"are":[73],"twofold:":[74],"(1)":[75],"find":[77],"important":[79],"Genetic":[85],"(GA)":[87],"(2)":[89],"each":[93],"performed":[96],"using":[97,138],"neural":[98],"network.":[99],"This":[100],"way,":[101],"performance":[103],"proposed":[106],"evaluated":[109],"on":[110],"two":[111],"parameters":[112],"(i.e.,":[113],"speed":[114],"recognition":[116],"accuracy).":[117],"efficacy":[120,132],"GA":[122,139],"moment":[126],"assessed,":[129],"selected":[134],"analyzed":[141],"characters.":[145],"Here,":[146],"authors":[148],"used":[149],"resilient":[151],"backpropagation":[152],"learning":[153],"(RPROP)":[155],"model.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
