Enhancing the Power of CNN Using Data Augmentation Techniques for Odia Handwritten Character Recognition

Table 12

Performance comparison of data augmentation techniques.

Reference	Dataset	Number of classes	Classifier	Accuracy without augmentation	Accuracy with augmentation (%)
[26]	BanglaLekha-isolated	50	CNN	91.81%	95.25
[21]	ISI image handwritten Oriya numerals	10	GAN	96.40%	97.30
[21]	ISI image handwritten Bangla numerals	10	GAN	98.35%	98.55
[21]	ISI image handwritten Devanagari numerals	10	GAN	98.48%	98.56
Proposed work	NITROHCSv1.0 Odia characters	47	CNN	97.76%	98.91
Proposed work	ISI image handwritten Oriya numerals	10	CNN	97.39	98.60