BN-HW-DSNd: A Dataset of Handwritten Bengali Words for Text Recognition

The significance of automatic Bengali Handwritten Text Recognition (HTR) is increasingly recognized, given its pivotal role in diverse domains like document digitization, intelligent traffic systems, and postal automation.We've created a novel dataset meticulously curated to the highest standards, entitled BN-HW-DSNd.This dataset boasts comprehensive labelling and a vast reservoir of data, offering a diverse range of modalities.Despite the inherent challenges posed by the variations in size and shape of handwritten characters, particularly in the curvy and compound Bengali script, our study also introduces a Convolutional Neural Network (CNN) based image classification model tailored for recognizing Bengali handwritten district names.With a collection of 7,040 handwritten samples of various shapes and colours, our designed model showcases outstanding performance.It achieves a test accuracy of 98.44%, showcasing the efficacy and sensitivity of our model in addressing this intricate task.