The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

In this work, a novel deep learning technique for the recognition of handwritten Bangla
isolated compound character is presented and a new benchmarkof recognition accuracy on …

Abstract BanglaLekha-Isolated, a Bangla handwritten isolated character dataset is
presented in this article. This dataset contains 84 different characters comprising of 50 …

Handwritten numeral recognition is a classical and important task in the computer vision
area. We propose two novel deep learning models for this task, which combine the edge …

Proper recognition of complex-shaped handwritten compound characters is still a big
challenge for Bangla OCR systems. In this paper, we propose a novel shape decomposition …

The handwritten character recognition (HCR) problem has been studied extensively during
the last few decades with varying level of success. Although one of the earliest optical …

Without publicly available dataset, specifically in handwritten document recognition (HDR),
we cannot make a fair and/or reliable comparison between the methods. Considering HDR …

Handwritten character recognition (HCR) remains a challenging pattern recognition problem
despite decades of research, and lacks research on script independent recognition …

Abstract Convolutional Neural Network has become very common in the field of computer
vision in recent years. But it comes with a severe restriction regarding the size of the input …

Overview: Handwriting recognition (HR) involves converting handwritten text into machine-
readable text. Tamil handwritten document recognition remains a challenging process in …