{"id":"https://openalex.org/W4200416288","doi":"https://doi.org/10.1109/icses52305.2021.9633971","title":"Object Recognition using Novel Geometrical Feature Extraction Techniques","display_name":"Object Recognition using Novel Geometrical Feature Extraction Techniques","publication_year":2021,"publication_date":"2021-09-24","ids":{"openalex":"https://openalex.org/W4200416288","doi":"https://doi.org/10.1109/icses52305.2021.9633971"},"language":"en","primary_location":{"id":"doi:10.1109/icses52305.2021.9633971","doi":"https://doi.org/10.1109/icses52305.2021.9633971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icses52305.2021.9633971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607988","display_name":"International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5046489855","display_name":"Narasimha Reddy Soora","orcid":"https://orcid.org/0000-0002-2268-0022","observed_orcids":["https://orcid.org/0000-0002-2268-0022"]},"institutions":[{"id":"https://openalex.org/I28210344","display_name":"Kakatiya University","ror":"https://ror.org/012zpbg81","country_code":"IN","type":"education","lineage":["https://openalex.org/I28210344"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Narasimha Reddy Soora","raw_affiliation_strings":["Computer Science and Engineering, Kakatiya Institute of Technology and Science Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Kakatiya Institute of Technology and Science Warangal, Telangana, India","institution_ids":["https://openalex.org/I28210344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008281308","display_name":"Snehith Reddy Puli","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I28210344","display_name":"Kakatiya University","ror":"https://ror.org/012zpbg81","country_code":"IN","type":"education","lineage":["https://openalex.org/I28210344"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Snehith Reddy Puli","raw_affiliation_strings":["Computer Science and Engineering, Kakatiya Institute of Technology and Science Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Kakatiya Institute of Technology and Science Warangal, Telangana, India","institution_ids":["https://openalex.org/I28210344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048508823","display_name":"Venkatramulu Sunkari","orcid":"https://orcid.org/0000-0002-2158-328X","observed_orcids":["https://orcid.org/0000-0002-2158-328X"]},"institutions":[{"id":"https://openalex.org/I28210344","display_name":"Kakatiya University","ror":"https://ror.org/012zpbg81","country_code":"IN","type":"education","lineage":["https://openalex.org/I28210344"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Venkatramulu Sunkari","raw_affiliation_strings":["Computer Science and Engineering, Kakatiya Institute of Technology and Science Warangal, Telangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Kakatiya Institute of Technology and Science Warangal, Telangana, India","institution_ids":["https://openalex.org/I28210344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28210344"],"apc_list":null,"apc_paid":null,"fwci":0.1541,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40034557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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":0.003000000026077032,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.0012000000569969416,"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/object-recognition","display_name":"object recognition","score":1.0},{"id":"https://openalex.org/keywords/geometrical-feature-extraction","display_name":"geometrical feature extraction","score":0.9100000262260437},{"id":"https://openalex.org/keywords/perimeter","display_name":"perimeter","score":0.5329999923706055},{"id":"https://openalex.org/keywords/feature-vectors","display_name":"feature vectors","score":0.871999979019165},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.6740000247955322}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7990398406982422},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7742171883583069},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7204380035400391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027699947357178},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6643338203430176},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.6215242743492126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6115584373474121},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5681343078613281},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5055334568023682},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.471718966960907},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46654772758483887},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.44332951307296753},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4308450520038605},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.4252418279647827},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3965381979942322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19366523623466492},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icses52305.2021.9633971","doi":"https://doi.org/10.1109/icses52305.2021.9633971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icses52305.2021.9633971","pdf_url":null,"source":{"id":"https://openalex.org/S4363607988","display_name":"International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1501527416","https://openalex.org/W1963984740","https://openalex.org/W1964431616","https://openalex.org/W2005182288","https://openalex.org/W2024121930","https://openalex.org/W2048049573","https://openalex.org/W2145219790","https://openalex.org/W2165324650","https://openalex.org/W2727857707","https://openalex.org/W3110905014","https://openalex.org/W6630150384"],"related_works":["https://openalex.org/W1558637236","https://openalex.org/W1602089846","https://openalex.org/W757326846","https://openalex.org/W1590149811","https://openalex.org/W1968432886","https://openalex.org/W2954468849","https://openalex.org/W7164840938","https://openalex.org/W2811110899","https://openalex.org/W2793037737","https://openalex.org/W2261788266"],"abstract_inverted_index":{"In":[0,119],"Image":[1],"Processing,":[2],"an":[3,6,54,82],"object":[4,55],"is":[5,62,76,159],"identifiable":[7],"portion":[8],"of":[9,29,43,71,97,102,113,130,140],"a":[10,18,50,95],"particular":[11],"image":[12,72],"that":[13],"can":[14],"be":[15,92],"interpreted":[16],"as":[17,94,161],"single":[19],"unit.":[20],"Humans":[21],"have":[22,123],"the":[23,63,69,77,89,100,111,128,141,147,153],"ability":[24],"to":[25,49],"recognize":[26],"any":[27,37],"type":[28],"objects":[30,90,114],"whether":[31],"they":[32,107],"are":[33,108,144],"alphabets,":[34],"digits":[35],"or":[36],"living":[38],"and":[39,74,105,115,136,149,156],"non-living":[40],"things":[41],"irrespective":[42],"their":[44],"forms.":[45],"When":[46],"it":[47,52,75],"comes":[48],"machine,":[51],"detects":[53],"by":[56],"extracting":[57],"its":[58],"features.":[59],"Feature":[60],"Extraction":[61],"most":[64],"popular":[65],"research":[66],"area":[67,135],"in":[68,99,146],"field":[70],"analysis,":[73],"primary":[78],"requirement":[79],"for":[80,110,116,151],"representing":[81],"object.":[83],"By":[84],"these":[85],"feature":[86,103],"extraction":[87],"techniques,":[88],"will":[91],"represented":[93],"group":[96],"features":[98,126,139],"form":[101],"vectors":[104],"then":[106],"used":[109,150,160],"recognition":[112],"classifying":[117,152],"them.":[118],"this":[120],"paper,":[121],"we":[122],"proposed":[124],"geometrical":[125],"from":[127],"set":[129],"training":[131,142],"images":[132,143,155],"using":[133],"triangular":[134],"perimeter.":[137],"These":[138],"stored":[145],"database":[148],"test":[154],"Chi-Square":[157],"statistics":[158],"classification":[162],"method":[163]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2021-12-31T00:00:00"}
