Automated character recognition is currently highly popular due to its wide range of
applications. Bengali handwritten character recognition (BHCR) is an extremely difficult …

In the wake of the COVID-19 pandemic, the educational system found itself in dire need of a
reliable tool to continue its activities. Enter the E-Learning system, a tool that had been …

Accurately classifying user-independent handwritten Bengali characters and numerals
presents a formidable challenge in their recognition. This task becomes more complicated …

In this study, we present a machine-learning-based approach that focuses on the automatic
retrieval of engraved expiry dates. We leverage generative adversarial networks by …

The paper discusses the use of machine learning in recognizing handwritten digits and text,
which has wide applications in areas such as surveillance, healthcare, and document …

Handwritten digit recognition (HDR) deals with variety of sources which includes papers,
photographs, touch screens to recognize them into different categories. Deep Learning and …

One of the most fundamental uses of machine learning is the identification of handwritten
digits. There has been a lot of compelling research in this field. Since everyone has different …

The capability of ML (Machine Learning) algorithms to recognize images of handwritten
numerals is known as HDR (Handwritten Digit Recognition). Because handwritten numerals …

This naner proposes a method for automatically detecting images and signatures in
uploaded documents. The prime objective is to assist the organization in reducing the …

Hand-written digit recognition is the process of enabling machines to identify human hand-
written digits. A highly proficient algorithm is required when dealing with handwriting …