Bengali Handwritten Character Recognition using Transfer Learning

October 6, 2020 · 1 min read
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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.

Deep Learning Transfer Learning Bengali OCR
Raihan Tanvir
Authors
Raihan Tanvir
Senior Lecturer
I am Raihan Tanvir, currently serving as a Senior Lecturer in the Department of Computer Science and Engineering at Ahsanullah University of Science and Technology (AUST) in Dhaka, Bangladesh. My research spans Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), Vision-Language Models (VLMs), and multimodal deep learning.