Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …

Digitizing handwriting is mostly performed using either image-based methods, such as
optical character recognition, or utilizing two or more devices, such as a special stylus and a …

This paper presents a handwriting recognition (HWR) system that deals with online
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …

Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …

Due to the enormous technical challenges and wide range of applications, scene text
recognition (STR) has been an active research topic in computer vision for years. To tackle …

Handwritten identification of digit, analysis of pattern has been a major area of research in
the field of character recognition. Several models are formed by changing various values of …

A significant issue in the domain of optical character recognition is handwritten text
recognition. Here, two novel feature extraction techniques are proposed using a fixed-size …

The recognition of character is the process which enables a computer to recognize
handwritten and printed characters such as numbers, letters in a document as image and …

Due to the advanced in GPU and CPU, in recent years, Deep Neural Network (DNN)
becomes popular to be utilized both as feature extraction and classifier. This paper aims to …

Doctors in developing countries are too busy to write digital prescriptions. Ninety-seven
percent of Bangladeshi doctors write handwritten prescriptions, the majority of which lack …