{"id":"https://openalex.org/W1973482819","doi":"https://doi.org/10.1145/2345396.2345528","title":"A new combined method for character recognizing in Farsi printed scripts using principal component analysis","display_name":"A new combined method for character recognizing in Farsi printed scripts using principal component analysis","publication_year":2012,"publication_date":"2012-08-03","ids":{"openalex":"https://openalex.org/W1973482819","doi":"https://doi.org/10.1145/2345396.2345528","mag":"1973482819"},"language":"en","primary_location":{"id":"doi:10.1145/2345396.2345528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345528","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 on Advances in Computing, Communications and Informatics","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/A5037753140","display_name":"Shahrouz Gashmard","orcid":null},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Shahrouz Gashmard","raw_affiliation_strings":["Isfahan Univ. of Medical Sciences Isfahan, Iran","Isfahan University of Medical Sciences, Isfahan, Iran,"],"affiliations":[{"raw_affiliation_string":"Isfahan Univ. of Medical Sciences Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]},{"raw_affiliation_string":"Isfahan University of Medical Sciences, Isfahan, Iran,","institution_ids":["https://openalex.org/I114982161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107823946","display_name":"Alireza Mehri Dehnavi","orcid":null},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Mehri Dehnavi","raw_affiliation_strings":["Isfahan Univ. of Medical Sciences Isfahan, Iran","Isfahan University of Medical Sciences, Isfahan, Iran,"],"affiliations":[{"raw_affiliation_string":"Isfahan Univ. of Medical Sciences Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]},{"raw_affiliation_string":"Isfahan University of Medical Sciences, Isfahan, Iran,","institution_ids":["https://openalex.org/I114982161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052490368","display_name":"Hossein Rabbani","orcid":"https://orcid.org/0000-0002-0551-3636"},"institutions":[{"id":"https://openalex.org/I114982161","display_name":"Isfahan University of Medical Sciences","ror":"https://ror.org/04waqzz56","country_code":"IR","type":"education","lineage":["https://openalex.org/I114982161"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Rabbani","raw_affiliation_strings":["Isfahan Univ. of Medical Sciences Isfahan, Iran","Isfahan University of Medical Sciences, Isfahan, Iran,"],"affiliations":[{"raw_affiliation_string":"Isfahan Univ. of Medical Sciences Isfahan, Iran","institution_ids":["https://openalex.org/I114982161"]},{"raw_affiliation_string":"Isfahan University of Medical Sciences, Isfahan, Iran,","institution_ids":["https://openalex.org/I114982161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037753140"],"corresponding_institution_ids":["https://openalex.org/I114982161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05581791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"812","last_page":"815"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/T10057","display_name":"Face and Expression Recognition","score":0.991100013256073,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.9072144627571106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7176737785339355},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7144685387611389},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6498050093650818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6249321699142456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837818384170532},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4643784761428833},{"id":"https://openalex.org/keywords/character-encoding","display_name":"Character encoding","score":0.4502123296260834},{"id":"https://openalex.org/keywords/eigenface","display_name":"Eigenface","score":0.4335746169090271},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3894587755203247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3241071105003357},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2459906041622162}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.9072144627571106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7176737785339355},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7144685387611389},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6498050093650818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6249321699142456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837818384170532},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4643784761428833},{"id":"https://openalex.org/C32717103","wikidata":"https://www.wikidata.org/wiki/Q184759","display_name":"Character encoding","level":3,"score":0.4502123296260834},{"id":"https://openalex.org/C104906051","wikidata":"https://www.wikidata.org/wiki/Q29695","display_name":"Eigenface","level":4,"score":0.4335746169090271},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3894587755203247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3241071105003357},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2459906041622162},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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:10.1145/2345396.2345528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2345396.2345528","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 on Advances in Computing, Communications and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"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":12,"referenced_works":["https://openalex.org/W109138398","https://openalex.org/W1979473816","https://openalex.org/W2015619344","https://openalex.org/W2044021716","https://openalex.org/W2082561755","https://openalex.org/W2095969303","https://openalex.org/W2115755118","https://openalex.org/W2127778461","https://openalex.org/W2138451337","https://openalex.org/W2542232529","https://openalex.org/W3021986761","https://openalex.org/W4405806697"],"related_works":["https://openalex.org/W1994017132","https://openalex.org/W2012473832","https://openalex.org/W1545364738","https://openalex.org/W2359481045","https://openalex.org/W1997320534","https://openalex.org/W3147241817","https://openalex.org/W4385524893","https://openalex.org/W2181749222","https://openalex.org/W2000169474","https://openalex.org/W1972373683"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,84],"new":[4],"method":[5,86,111,126,143],"for":[6,19,87],"character":[7,89,108],"recognition":[8,47,90],"in":[9,96,106,115],"Farsi":[10,88,107],"scripts":[11],"using":[12,91],"Principal":[13],"Component":[14],"Analysis":[15],"(PCA).":[16],"Materials":[17],"used":[18,54],"this":[20,56],"project":[21],"are":[22,34,58],"selected":[23,35],"from":[24],"ordinary":[25],"books,":[26],"magazines,":[27],"newspapers,":[28],"and":[29,39,72,98,117,127,144],"printed":[30],"documents.":[31],"Character":[32],"samples":[33,97,116],"among":[36],"4":[37],"fonts":[38],"3":[40],"sizes":[41],"(and":[42],"the":[43,79,120,124,130],"total":[44],"number":[45],"of":[46,81],"classes":[48],"is":[49,100,137],"set":[50],"to":[51],"20).":[52],"Methods":[53],"during":[55],"work":[57],"Statistical":[59,142],"method,":[60,66],"Fast":[61],"Zernike":[62],"Wavelet":[63],"Moment":[64],"(FZWM)":[65],"PCA,":[67],"PCA":[68,73,92,110],"with":[69,74,93,112],"sample":[70],"averaging,":[71],"eigenvectors":[75,99,118],"averaging.":[76],"Finally,":[77],"comparing":[78],"results":[80],"these":[82],"methods,":[83],"novel":[85],"combinational":[94,113],"averaging":[95,114],"introduced.":[101],"Our":[102],"simulations":[103],"show":[104],"that":[105],"recognition,":[109],"improves":[119],"accuracy":[121],"2.42%":[122],"versus":[123,129],"statistical":[125],"5.87%":[128],"FZWM":[131,149],"method.":[132,150],"Also":[133],"its":[134],"calculation":[135],"time":[136],"7.6":[138],"times":[139,146],"faster":[140,147],"than":[141,148],"5.15":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}