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Therefore, this study addresses the enduring complexity of face similarity by introducing an innovative approach called the Deep Learning-based Texture Feature (DLTF) through the utilization of the efficient deep learning model known as the Residual Network (ResNet). Despite the variations in poses, lighting, expressions, and occlusions that can greatly alter faces, ResNet\u2019s deep architecture and feature retention capabilities make it resilient to these changes, ensuring consistent and accurate annotations under diverse conditions. Experimental results obtained from the IMFDB, LFW, and Yahoo datasets demonstrate that the proposed DLTF is the most effective description of deep texture features, leading to improved face naming performance. Furthermore, the proposed DLTF enhances the efficiency of the face-naming task by effectively addressing real-life challenges. <\/jats:p>","DOI":"10.1142\/s0218001425320015","type":"journal-article","created":{"date-parts":[[2025,1,22]],"date-time":"2025-01-22T06:38:27Z","timestamp":1737527907000},"source":"Crossref","is-referenced-by-count":5,"title":["Deep Learning-based Texture Feature Extraction Technique for Face Annotation"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8940-0016","authenticated-orcid":false,"given":"A.","family":"Kasthuri","sequence":"first","affiliation":[{"name":"Department of Computer Science, Arulmigu Subramania Swamy Arts and Science College, Thoothukudi-628907, Tamilnadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2863-1555","authenticated-orcid":false,"given":"A.","family":"Suruliandi","sequence":"additional","affiliation":[{"name":"Department of Computer Science & Engineering, Manonmaniam Sundaranar University, Tirunelveli 627012, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9616-7045","authenticated-orcid":false,"given":"E.","family":"Poongothai","sequence":"additional","affiliation":[{"name":"Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7216-2207","authenticated-orcid":false,"given":"S. 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