{"id":"https://openalex.org/W4388937141","doi":"https://doi.org/10.1109/icccnt56998.2023.10306860","title":"A comparative analysis between three local descriptors","display_name":"A comparative analysis between three local descriptors","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937141","doi":"https://doi.org/10.1109/icccnt56998.2023.10306860"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10306860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5048665677","display_name":"Shekhar Karanwal","orcid":"https://orcid.org/0000-0003-2932-4132"},"institutions":[{"id":"https://openalex.org/I60054993","display_name":"Graphic Era University","ror":"https://ror.org/03wqgqd89","country_code":"IN","type":"education","lineage":["https://openalex.org/I60054993"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shekhar Karanwal","raw_affiliation_strings":["Graphic Era University (Deemed),CSE Department,Dehradun,UK, India","CSE Department, Graphic Era University (Deemed), Dehradun, UK, India"],"affiliations":[{"raw_affiliation_string":"Graphic Era University (Deemed),CSE Department,Dehradun,UK, India","institution_ids":["https://openalex.org/I60054993"]},{"raw_affiliation_string":"CSE Department, Graphic Era University (Deemed), Dehradun, UK, India","institution_ids":["https://openalex.org/I60054993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048665677"],"corresponding_institution_ids":["https://openalex.org/I60054993"],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61247564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.9980999827384949,"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":0.9962000250816345,"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/histogram","display_name":"Histogram","score":0.8105574250221252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684962272644043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6324045658111572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6225079298019409},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5838677883148193},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5527075529098511},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4921261668205261},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4835907816886902},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38199713826179504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16382068395614624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16173145174980164},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12798795104026794}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8105574250221252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684962272644043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6324045658111572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225079298019409},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5838677883148193},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5527075529098511},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4921261668205261},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4835907816886902},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38199713826179504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16382068395614624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16173145174980164},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12798795104026794},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10306860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2123921160","https://openalex.org/W2125874614","https://openalex.org/W2131081720","https://openalex.org/W2293457052","https://openalex.org/W2609633863","https://openalex.org/W3120696033","https://openalex.org/W3134198749","https://openalex.org/W4220686048","https://openalex.org/W4282932325"],"related_works":["https://openalex.org/W4251298892","https://openalex.org/W2356013541","https://openalex.org/W2090763504","https://openalex.org/W2385444679","https://openalex.org/W3133868776","https://openalex.org/W2107628111","https://openalex.org/W144391745","https://openalex.org/W2360644005","https://openalex.org/W2350667299","https://openalex.org/W2365027229"],"abstract_inverted_index":{"Literature":[0],"reports":[1],"comparative":[2,80],"analysis":[3,81],"between":[4],"numerous":[5],"descriptors":[6,89,126],"(local)":[7],"in":[8,32,50,71,119,178],"form":[9],"of":[10,24,41,65,82,135],"their":[11,105],"research":[12],"article.":[13],"These":[14,86],"studies":[15],"although":[16],"achieve":[17],"good":[18],"results":[19,118,152],"but":[20],"the":[21,33,39,51,62,79,99],"best":[22,63,160],"combination":[23,64],"local,":[25,66],"global":[26,67,127],"and":[27,60,68,94,101,139,142,167,171],"classification":[28,69],"methods":[29,70],"are":[30,43,90,129,144],"missing":[31],"earlier":[34],"research.":[35],"As":[36],"a":[37],"result,":[38],"performance":[40],"these":[42],"not":[44],"as":[45,47,156],"encouraging":[46],"it":[48],"be":[49],"harsh":[52,120],"light":[53],"variations.":[54,122],"This":[55],"work":[56,77],"eliminate":[57],"this":[58,76],"demerit":[59],"executes":[61],"Face":[72],"Recognition":[73],"(FR).":[74],"Precisely,":[75],"presents":[78],"three":[83,87,97,125],"local":[84,88],"descriptors.":[85],"6x6":[91],"MB-LBP,":[92],"MB-ZZLBP":[93],"MRELBP-NI.":[95],"All":[96,174],"captures":[98],"macrostructure":[100],"microstructure":[102],"information":[103],"therefore":[104],"comparison":[106],"is":[107,111,147,165,176],"performed.":[108],"The":[109,159],"idea":[110],"to":[112],"check":[113],"which":[114,131,149],"descriptor":[115],"produces":[116],"better":[117,151],"illumination":[121],"For":[123,137],"all":[124],"histograms":[128],"extracted,":[130],"develops":[132],"histogram":[133],"size":[134],"256.":[136],"compression":[138],"matching":[140],"FLDA":[141],"SVMs":[143],"utilized.":[145],"It":[146],"MRELBP-NI":[148,164],"attains":[150],"than":[153],"other":[154],"two,":[155],"result":[157],"suggests.":[158],"accuracy":[161],"achieved":[162],"by":[163],"93.49%":[166],"99.33%":[168],"on":[169],"EYB":[170],"YB":[172],"datasets.":[173],"testing":[175],"conducted":[177],"MATLAB":[179],"R2021a":[180],"settings.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}