Handwritten Devanagari Character Recognition Using Modified Lenet and Alexnet Convolution Neural Networks

• Published in: Wireless personal communications Vol. 122; no. 1; pp. 349 - 378
• Main Authors: Prashanth, Duddela Sai, Mehta, R. Vasanth Kumar, Ramana, Kadiyala, Bhaskar, Vidhyacharan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2022; Springer Nature B.V
• Subjects: Artificial neural networks; Character recognition; Communications Engineering; Computer Communication Networks; Datasets; Engineering; Feature extraction; Handwriting recognition; Image segmentation; Machine learning; Networks; Neural networks; Signal,Image and Speech Processing; Computer vision; Pattern recognition; Convolution neural network; Devanagari character recognition

Despite many advances, Handwritten Devanagari Character Recognition (HDCR) remains unsolved due to the presence of complex characters. For HDCR, the traditional feature extraction and classification techniques are limited to the datasets developed in the respective laboratory that are not available...