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The proposed work is conducted on the readily available HP Tamil handwritten character offline dataset (Hewlett-Packard Lab: hpl-tamil-iso-char-offline-1.0.). It reveals that with the suitable arrangement of transfer learning approach with Inception-v3, the pre-trained model can achieve the recognition accuracy of 93.1%, overtaking the former deep learning designs. The achieved accuracy is due to the use of a pre-trained version with transfer learning that regularly hastens the method of the training process on a new task. Overall, this results in higher accuracy and a more capable version.<\/jats:p>","DOI":"10.3233\/jifs-212378","type":"journal-article","created":{"date-parts":[[2021,12,24]],"date-time":"2021-12-24T10:26:55Z","timestamp":1640341615000},"page":"6091-6102","source":"Crossref","is-referenced-by-count":7,"title":["Transfer learning based handwritten character recognition of tamil script using inception-V3 Model"],"prefix":"10.1177","volume":"42","author":[{"given":"R.","family":"Gayathri","sequence":"first","affiliation":[{"name":"Department of ECE, Sri Venkateswara College of Engineering, Sriperumbudur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Babitha Lincy","sequence":"additional","affiliation":[{"name":"Department of ECE, Sri Venkateswara College of Engineering, Sriperumbudur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-212378_ref1","doi-asserted-by":"crossref","unstructured":"Bouchain D. , Character Recognition Using Convolutional Neural Networks, 6 (2006), 1903\u20131907.","DOI":"10.22214\/ijraset.2018.4325"},{"issue":"6","key":"10.3233\/JIFS-212378_ref2","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.35940\/ijitee.F1294.0486S419","article-title":"Handwritten character recognition using neural network and tensor flow","volume":"8","author":"Agarwal","year":"2019","journal-title":"Int. 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