查看文章

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 publicly. A standard benchmarking dataset is not available for HDCR that helps to develop deep learning models. To progress the performance of HDCR, in this study, we produced a dataset of 38,750 images of Devanagari numerals, and vowels are generated and made publicly available for fellow researchers in this domain. This data is collected from more than 3000 subjects of different age groups. Each character is extracted by a segmentation technique proposed here, which is limited to this application. Experiments are conducted on the dataset; three different Convolution Neural Networks (CNN …