We propose a solution which uses state-of-the-art techniques in Deep Learning to tackle the problem of Bengali Handwritten Character Recognition (HCR). Our method uses lesser iterations to train than most other comparable methods. We employ Transfer Learning on ResNet-50, a state-of-the-art deep Convolutional Neural Network Model, pretrained on ImageNet dataset.
An interactive application for generating Jamdani Motifs from user given strokes. This is a simple deployment of the Generative-Jamdani Engine derived from the model trained with Jamdani Noksha Dataset. Try the app: