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Top-1 error rate is reduced from 21.43% to 18.8%. Top-5 error rate is reduced to 2.68%. The proposed work results in high accuracy rate with low computation cost. The recognition rate of 99.18% and accuracy of 98.24% is achieved on standard dataset. Compared to the existing techniques the proposed work outperforms in all aspects. Experimental results provide better result than the existing techniques on FACES 94, Feret, Yale-B, CMU-PIE, JAFFE dataset and other state-of-art dataset.<\/jats:p>","DOI":"10.3233\/jifs-211114","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T10:26:39Z","timestamp":1640341599000},"page":"3241-3250","source":"Crossref","is-referenced-by-count":0,"title":["An efficient fuzzy deep learning approach to recognize 2D faces using FADF and ResNet-164 architecture"],"prefix":"10.1177","volume":"42","author":[{"given":"K.","family":"Seethalakshmi","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Valli","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, College of Engineering, Anna University, 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