{"id":"https://openalex.org/W4406721800","doi":"https://doi.org/10.1142/s0218001425320015","title":"Deep Learning-based Texture Feature Extraction Technique for Face Annotation","display_name":"Deep Learning-based Texture Feature Extraction Technique for Face Annotation","publication_year":2025,"publication_date":"2025-01-22","ids":{"openalex":"https://openalex.org/W4406721800","doi":"https://doi.org/10.1142/s0218001425320015"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425320015","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425320015","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5008550634","display_name":"A. Kasthuri","orcid":"https://orcid.org/0000-0001-8940-0016"},"institutions":[{"id":"https://openalex.org/I2799761305","display_name":"Government Medical College Thoothukudi","ror":"https://ror.org/02q4r4y12","country_code":"IN","type":"education","lineage":["https://openalex.org/I2799761305"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"A. Kasthuri","raw_affiliation_strings":["Department of Computer Science, Arulmigu Subramania Swamy Arts and Science College, Thoothukudi-628907, Tamilnadu, India"],"raw_orcid":"https://orcid.org/0000-0001-8940-0016","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Arulmigu Subramania Swamy Arts and Science College, Thoothukudi-628907, Tamilnadu, India","institution_ids":["https://openalex.org/I2799761305"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086103677","display_name":"A. Suruliandi","orcid":"https://orcid.org/0000-0002-2863-1555"},"institutions":[{"id":"https://openalex.org/I182997119","display_name":"Manonmaniam Sundaranar University","ror":"https://ror.org/02qgw5c67","country_code":"IN","type":"education","lineage":["https://openalex.org/I182997119"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Suruliandi","raw_affiliation_strings":["Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli 627012, India"],"raw_orcid":"https://orcid.org/0000-0002-2863-1555","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli 627012, India","institution_ids":["https://openalex.org/I182997119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089075336","display_name":"E. Poongothai","orcid":"https://orcid.org/0000-0002-9616-7045"},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Poongothai","raw_affiliation_strings":["Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India"],"raw_orcid":"https://orcid.org/0000-0002-9616-7045","affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068883308","display_name":"S. P. Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. P. Raja","raw_affiliation_strings":["School of Computer Science & Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0002-7216-2207","affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008550634"],"corresponding_institution_ids":["https://openalex.org/I2799761305"],"apc_list":null,"apc_paid":null,"fwci":5.6007,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.95335133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"39","issue":"03n04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9103000164031982,"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/T11448","display_name":"Face recognition and analysis","score":0.9103000164031982,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.797585129737854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7139468193054199},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6012261509895325},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5994640588760376},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5917877554893494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5879805088043213},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5301918387413025},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5213921666145325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4756319522857666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4699791967868805},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.43652796745300293},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3006485402584076}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.797585129737854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7139468193054199},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6012261509895325},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5994640588760376},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5917877554893494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5879805088043213},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5301918387413025},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5213921666145325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4756319522857666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4699791967868805},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.43652796745300293},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3006485402584076},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1142/s0218001425320015","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425320015","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1980473701","https://openalex.org/W1999349333","https://openalex.org/W2004703360","https://openalex.org/W2006158573","https://openalex.org/W2100500227","https://openalex.org/W2106008047","https://openalex.org/W2119183103","https://openalex.org/W2146126078","https://openalex.org/W2293202405","https://openalex.org/W2295398630","https://openalex.org/W2520081143","https://openalex.org/W2532119416","https://openalex.org/W2730167212","https://openalex.org/W2742591498","https://openalex.org/W2771292748","https://openalex.org/W2782874754","https://openalex.org/W2792671830","https://openalex.org/W2802644759","https://openalex.org/W2805242379","https://openalex.org/W2881233020","https://openalex.org/W2887628552","https://openalex.org/W2905504989","https://openalex.org/W2912096076","https://openalex.org/W2969703002","https://openalex.org/W2982383280","https://openalex.org/W3030108559","https://openalex.org/W3121940920","https://openalex.org/W4281667552","https://openalex.org/W4303983745","https://openalex.org/W4384665494","https://openalex.org/W4390662981","https://openalex.org/W4391924557","https://openalex.org/W4394852390"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W4405124681","https://openalex.org/W1533177136","https://openalex.org/W4380994516"],"abstract_inverted_index":{"Face":[0],"annotation":[1,29,55],"plays":[2],"a":[3,50],"crucial":[4],"role":[5,52],"in":[6,22,47,53,116],"the":[7,18,33,72,80,92,99,102,109,114,152,160,164,179,183,186],"field":[8],"of":[9,27,35,74,83,101,168,185],"computer":[10],"vision.":[11],"Its":[12],"purpose":[13],"is":[14,58,163],"to":[15,137,173],"accurately":[16],"label":[17],"faces":[19],"that":[20,61,122,159],"appear":[21],"an":[23,88],"image.":[24],"The":[25],"effectiveness":[26],"face":[28,54,84,175],"relies":[30],"heavily":[31],"on":[32],"representation":[34],"facial":[36],"features,":[37,46,68,171],"such":[38],"as":[39,108],"color,":[40],"texture,":[41],"and":[42,120,130,142,155],"shape.":[43],"Deep":[44,93],"texture":[45,67,170],"particular,":[48],"play":[49],"significant":[51],"systems.":[56],"It":[57],"worth":[59],"noting":[60],"different":[62],"individuals":[63],"can":[64,70,123],"possess":[65],"similar":[66],"which":[69],"impact":[71],"performance":[73],"annotation.":[75],"Therefore,":[76],"this":[77],"study":[78],"addresses":[79],"enduring":[81],"complexity":[82],"similarity":[85],"by":[86,189],"introducing":[87],"innovative":[89],"approach":[90],"called":[91],"Learning-based":[94],"Texture":[95],"Feature":[96],"(DLTF)":[97],"through":[98],"utilization":[100],"efficient":[103],"deep":[104,128,169],"learning":[105],"model":[106],"known":[107],"Residual":[110],"Network":[111],"(ResNet).":[112],"Despite":[113],"variations":[115],"poses,":[117],"lighting,":[118],"expressions,":[119],"occlusions":[121],"greatly":[124],"alter":[125],"faces,":[126],"ResNet\u2019s":[127],"architecture":[129],"feature":[131],"retention":[132],"capabilities":[133],"make":[134],"it":[135],"resilient":[136],"these":[138],"changes,":[139],"ensuring":[140],"consistent":[141],"accurate":[143],"annotations":[144],"under":[145],"diverse":[146],"conditions.":[147],"Experimental":[148],"results":[149],"obtained":[150],"from":[151],"IMFDB,":[153],"LFW,":[154],"Yahoo":[156],"datasets":[157],"demonstrate":[158],"proposed":[161,180],"DLTF":[162,181],"most":[165],"effective":[166],"description":[167],"leading":[172],"improved":[174],"naming":[176],"performance.":[177],"Furthermore,":[178],"enhances":[182],"efficiency":[184],"face-naming":[187],"task":[188],"effectively":[190],"addressing":[191],"real-life":[192],"challenges.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}
