We introduce and make publicly available a novel benchmark, OCR4MT, consisting of real and synthetic data, enriched with noise, for 60 low-resource languages in low resource scripts. We evalu-ate state …

A large number of uses of machine learning is in the field of optical character recognition (OCR). Optical character recognition has been around for many years; however, the algorithms have become …

vehicles and assistive technologies. This research paper examines the advancements in OCR systems, focusing on how recent developments in machine learning and artificial intelligence have propelled …

Abstract: Optical Character Recognition (OCR) has significantly evolved with the rise of deep learning techniques. In this research paper, we present a novel and advanced OCR algorithm that leverages …

Optical character recognition (OCR) is a common technology to convert scanned images of handwritten or typewritten text into machine-encoded text. It is widely used in digitizing books and texts so that …

This project addresses these challenges by leveraging Machine Learning, Optical Character Recognition (OCR), AWS Textract model and microservices architecture to create a robust, scalable, and efficient …

Optical Character Recognition or OCR is a well-researched area in the field of Machine Learning. An OCR software takes an image of text as input and converts it into digital text.