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Master Thesis Project: Neuromorphic Hardware Design IISER Bhopal, Dept. Electrical Engineering and Computer Science
This research is based on Optical Character Recognition (OCR). In this study, a system will be designed to recognise Bengali numerals. The numerals are handwritten, and the numerical dataset will be collected from a cloud-based repository. Data will be preprocessed first and then randomly split into training and testing data. Here a Convolutional Neural Network (CNN) will be designed. The CNN will be trained using the training dataset of Bengali handwritten numerical. After training, the CNN will be tested using the testing dataset for recognition accuracy.
This work was the final project of our "EEE 212 -Numerical Technique Laboratory" course. We have designed a text-to-speech conversion system in this work.