{"id":"https://openalex.org/W1993123141","doi":"https://doi.org/10.1109/icapr.2015.7050692","title":"Gestalt configural superiority effect: A complexity paradigm for handwritten numeral recognition","display_name":"Gestalt configural superiority effect: A complexity paradigm for handwritten numeral recognition","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1993123141","doi":"https://doi.org/10.1109/icapr.2015.7050692","mag":"1993123141"},"language":"en","primary_location":{"id":"doi:10.1109/icapr.2015.7050692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2015.7050692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)","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/A5061952885","display_name":"Kalyan S. Dash","orcid":"https://orcid.org/0000-0002-3008-6162"},"institutions":[{"id":"https://openalex.org/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kalyan S. Dash","raw_affiliation_strings":["School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India","School of Electrical Sciences, Indian Institute of Technology-Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]},{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology-Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086045014","display_name":"Niladri B. Puhan","orcid":"https://orcid.org/0000-0001-5932-1579"},"institutions":[{"id":"https://openalex.org/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. B. Puhan","raw_affiliation_strings":["School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India","School of Electrical Sciences, Indian Institute of Technology-Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]},{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology-Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034931207","display_name":"Ganapati Panda","orcid":"https://orcid.org/0000-0002-3555-5685"},"institutions":[{"id":"https://openalex.org/I99729588","display_name":"Indian Institute of Technology Bhubaneswar","ror":"https://ror.org/04gx72j20","country_code":"IN","type":"education","lineage":["https://openalex.org/I99729588"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganapati Panda","raw_affiliation_strings":["School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India","School of Electrical Sciences, Indian Institute of Technology-Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]},{"raw_affiliation_string":"School of Electrical Sciences, Indian Institute of Technology-Bhubaneswar, India","institution_ids":["https://openalex.org/I99729588"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061952885"],"corresponding_institution_ids":["https://openalex.org/I99729588"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78548457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9983999729156494,"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":0.9945999979972839,"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/numeral-system","display_name":"Numeral system","score":0.8802947402000427},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.8383128643035889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6571990251541138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6358678936958313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5857232809066772},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5821781158447266},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.5812694430351257},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5175870656967163},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.505781888961792},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4255080223083496},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3877784013748169},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2958047389984131},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.27915096282958984},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26945286989212036},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12521836161613464}],"concepts":[{"id":"https://openalex.org/C204160518","wikidata":"https://www.wikidata.org/wiki/Q122653","display_name":"Numeral system","level":2,"score":0.8802947402000427},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.8383128643035889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6571990251541138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6358678936958313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857232809066772},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5821781158447266},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.5812694430351257},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5175870656967163},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.505781888961792},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4255080223083496},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3877784013748169},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2958047389984131},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.27915096282958984},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26945286989212036},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12521836161613464},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icapr.2015.7050692","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2015.7050692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W30489918","https://openalex.org/W851139568","https://openalex.org/W1993407226","https://openalex.org/W2053913299","https://openalex.org/W2057175746","https://openalex.org/W2069024267","https://openalex.org/W2137126602","https://openalex.org/W2138270545","https://openalex.org/W2140776489","https://openalex.org/W2156700398","https://openalex.org/W2316768868","https://openalex.org/W6601223404","https://openalex.org/W6648597541","https://openalex.org/W6699252314"],"related_works":["https://openalex.org/W1593175091","https://openalex.org/W2539042112","https://openalex.org/W4313354065","https://openalex.org/W3039810647","https://openalex.org/W587872652","https://openalex.org/W4327521413","https://openalex.org/W3007907811","https://openalex.org/W2497283970","https://openalex.org/W2372251801","https://openalex.org/W3047431414"],"abstract_inverted_index":{"Too":[0],"much":[1],"irregularity":[2],"in":[3,20],"shapes":[4],"of":[5,14,46,54,65],"intraclass":[6],"images":[7,57],"poises":[8],"an":[9,84],"intrinsic":[10],"challenge":[11],"for":[12],"recognition":[13,29,76],"handwritten":[15,27],"alpha-numeric":[16],"characters.":[17],"We":[18],"propose,":[19],"this":[21,79],"paper,":[22],"a":[23],"perimetric":[24],"complexity":[25,81],"based":[26],"numeral":[28,75,86,97],"that":[30],"is":[31,41],"inspired":[32],"from":[33,43],"gestalt":[34],"configural":[35],"superiority":[36],"effect.":[37],"A":[38,52],"point-wise":[39],"correspondence":[40],"obtained":[42],"the":[44,88],"matching":[45],"shape":[47],"context":[48],"using":[49,87],"affine":[50],"transformation.":[51],"set":[53],"20":[55],"model":[56],"are":[58,69],"experimentally":[59],"chosen":[60],"to":[61,82],"obtain":[62],"composite":[63],"representations":[64],"unknown":[66,85],"image":[67],"which":[68],"visually":[70],"more":[71],"complex.":[72],"The":[73,91],"proposed":[74],"system":[77],"measures":[78],"perceptual":[80],"recognize":[83],"Watson's":[89],"measure.":[90],"experiments":[92],"on":[93],"ISI":[94],"Kolkata":[95],"Odia":[96],"database":[98],"show":[99],"promising":[100],"results.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
