The development of handwriting recognition systems began in the 1950s when there were
human operators whose job was to convert data from various documents into electronic …

Numerous work focusing on Indian Languages for automatically recognizing characters has
been witnessed in literature in the last few decades. But it was observed that only a handful …

Handwritten word recognition (HWR) is a kind of optical character recognition (OCR) system.
Text segmentation and feature extraction are the essential parts of a HWR system. In the text …

The aim of this paper is to develop a model to recognize basic Assamese characters using
feed-forward neural network. The basic characters included in Assamese language are a set …

This study focuses on the evolution and development of Manipuri handwritten script
recognition using machine‐and deep‐learning techniques. It becomes a challenging task …

The aim of this paper is to design a recognizer to recognize Assamese digits using feed
forward neural network. The recognizer crops the individual digits of the image using …

India's constitution has 22 languages written in 17 different scripts. These materials have a
limited lifespan, and as generations pass, these materials deteriorate, and the vital …

In this paper, a histogram of oriented gradient (HOG)-assisted deep learning algorithm is
proposed for classification of Manipuri Meitei Mayek (MMM) numerals. In HOG, gradient …

Digital content creation and document management in Indian languages are in progressing
stage. OCR has become an administrative requirement for effective governance and daily …

Améliorer la performance d'un système de reconnaissance de formes fait l'objet de
recherche dans de nombreuses disciplines. On obtient cette amélioration par l'optimisation …