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Tamil Vowel Recognition With Augmented MNIST-like Data Set

2020-06-09 19:17:30
Muthiah Annamalai
arXiv_CV
           
Abstract

We report generation of a MNIST [4] compatible data set [1] for Tamil vowels to enable building a classification DNN or other such ML/AI deep learning [2] models for Tamil OCR/Handwriting applications. We report the capability of the 60,000 grayscale, 28x28 pixel dataset to build a 92% accuracy (training) and 82% cross-validation 4-layer CNN, with 100,000+ parameters, in TensorFlow. We also report a top-1 classification accuracy of 70% and top-2 classification accuracy of 92% on handwritten vowels showing, for the same network.

Abstract (translated)

URL

https://arxiv.org/abs/2006.08367

PDF

https://arxiv.org/pdf/2006.08367.pdf

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