{"id":"https://openalex.org/W3139028639","doi":"https://doi.org/10.4018/ijncr.2021010101","title":"An Unsupervised Hybrid Symbolic Fuzzy Clustering Approach for Efficient Sclera Segmentation","display_name":"An Unsupervised Hybrid Symbolic Fuzzy Clustering Approach for Efficient Sclera Segmentation","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3139028639","doi":"https://doi.org/10.4018/ijncr.2021010101","mag":"3139028639"},"language":"en","primary_location":{"id":"doi:10.4018/ijncr.2021010101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijncr.2021010101","pdf_url":null,"source":{"id":"https://openalex.org/S1001844925","display_name":"International Journal of Natural Computing Research","issn_l":"1947-928X","issn":["1947-928X","1947-9298"],"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 Natural Computing Research","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/A5068835900","display_name":"B. S. Harish","orcid":"https://orcid.org/0000-0001-5495-0640"},"institutions":[{"id":"https://openalex.org/I4210137436","display_name":"JSS Science and Technology University","ror":"https://ror.org/04mnmkz07","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210137436"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. S. Harish","raw_affiliation_strings":["JSS Science and Technology University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JSS Science and Technology University, India","institution_ids":["https://openalex.org/I4210137436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027082541","display_name":"M. S. Maheshan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137436","display_name":"JSS Science and Technology University","ror":"https://ror.org/04mnmkz07","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210137436"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. S. Maheshan","raw_affiliation_strings":["JSS Science and Technology University, India"],"raw_orcid":"https://orcid.org/0000-0002-3330-8795","affiliations":[{"raw_affiliation_string":"JSS Science and Technology University, India","institution_ids":["https://openalex.org/I4210137436"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011328784","display_name":"C. K. Roopa","orcid":"https://orcid.org/0000-0002-8332-0901"},"institutions":[{"id":"https://openalex.org/I4210137436","display_name":"JSS Science and Technology University","ror":"https://ror.org/04mnmkz07","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210137436"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. K. Roopa","raw_affiliation_strings":["JSS Science and Technology University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JSS Science and Technology University, India","institution_ids":["https://openalex.org/I4210137436"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751061","display_name":"S. V. Aruna Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I302410947","display_name":"M S Ramaiah University of Applied Sciences","ror":"https://ror.org/02anh8x74","country_code":"IN","type":"education","lineage":["https://openalex.org/I302410947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. V. Aruna Kumar","raw_affiliation_strings":["Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences, India","institution_ids":["https://openalex.org/I302410947"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02787238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9332000017166138,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7780629396438599},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7605233192443848},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.724488377571106},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6624101400375366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5282142758369446},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5281317830085754},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5089342594146729},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5039710402488708},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4905697703361511},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4885061979293823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48777323961257935},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4153198003768921},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1873226761817932},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.13736581802368164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780629396438599},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7605233192443848},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.724488377571106},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6624101400375366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5282142758369446},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5281317830085754},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5089342594146729},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5039710402488708},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4905697703361511},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4885061979293823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48777323961257935},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4153198003768921},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1873226761817932},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.13736581802368164},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijncr.2021010101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijncr.2021010101","pdf_url":null,"source":{"id":"https://openalex.org/S1001844925","display_name":"International Journal of Natural Computing Research","issn_l":"1947-928X","issn":["1947-928X","1947-9298"],"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 Natural Computing Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jncr00:v:10:y:2021:i:1:p:1-14","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJNCR.2021010101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1990442416","https://openalex.org/W1991620112","https://openalex.org/W2040323389","https://openalex.org/W2045146865","https://openalex.org/W2055579676","https://openalex.org/W2106450077","https://openalex.org/W2108859253","https://openalex.org/W2206453907","https://openalex.org/W2294592606","https://openalex.org/W2532559192","https://openalex.org/W2956154037","https://openalex.org/W2963881378","https://openalex.org/W2970693868","https://openalex.org/W3147915060"],"related_works":["https://openalex.org/W2361805396","https://openalex.org/W2972254340","https://openalex.org/W2022231341","https://openalex.org/W2373973507","https://openalex.org/W2351154965","https://openalex.org/W2357579988","https://openalex.org/W1805912688","https://openalex.org/W2041503010","https://openalex.org/W2389484049","https://openalex.org/W4386330225"],"abstract_inverted_index":{"This":[0],"article":[1],"performs":[2],"the":[3,20,44,59,71,74,109,116],"sclera":[4],"segmentation":[5],"task":[6],"by":[7],"proposing":[8],"a":[9],"new":[10],"hybrid":[11],"symbolic":[12,48,65],"fuzzy":[13,66],"c-means":[14],"(HSFCM)":[15],"clustering":[16,67,86],"method.":[17,52],"Practically,":[18],"though":[19],"data":[21],"point":[22],"exhibits":[23],"some":[24,35],"sort":[25,36],"of":[26,37,73,98],"similarity,":[27],"unfortunately":[28],"they":[29],"are":[30],"not":[31],"undistinguishable":[32],"and":[33,57,102],"exhibit":[34],"dissimilarity.":[38],"Thus,":[39],"to":[40,54,63,115],"capture":[41],"these":[42],"disparities,":[43],"proposed":[45,62,75,85,110],"work":[46],"uses":[47],"interval":[49],"valued":[50],"representation":[51],"Further,":[53],"handle":[55],"uncertainty":[56],"imprecision,":[58],"paper":[60],"has":[61],"use":[64],"methods.":[68,118],"To":[69],"assess":[70],"performance":[72],"method,":[76],"extensive":[77],"experimentation":[78],"is":[79,88],"conducted":[80],"on":[81],"SSRBC2016":[82],"dataset.":[83],"The":[84,104],"method":[87,95,111],"compared":[89,114],"with":[90],"existing":[91],"FCM,":[92],"KFCM,":[93],"RSKFCM":[94],"in":[96],"terms":[97],"cluster":[99],"validity":[100],"indices":[101],"accuracy.":[103],"obtained":[105],"outcomes":[106],"demonstrated":[107],"that":[108],"performed":[112],"better":[113],"contemporary":[117]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
