Background: To preserve valuable sources and cultural heritage, digitization of handwritten
characters is crucial. For this, Optical Character Recognition (OCR) systems were introduced …

The robustness of a typical Handwritten character recognition system relies on the
availability of comprehensive supervised data samples. There has been considerable work …

Languages across the globe have been used in expressing and writing thoughts,
information, and discoveries. Aiming to store and preserve these contents in digitized form is …

This paper introduces a new publicly available image-based Swedish historical handwritten
character and word dataset named C haracter Ar kiv D igital S weden (CArDIS)(https …

Optical Character Recognition (OCR) technology is essential in converting printed or
handwritten documents into machine-readable text. This paper provides an overview of …

In the modern world, fast and efficient processing of non-digital (handwritten or typed) texts
is the task of extreme importance. Similar to many other fields, optical character recognition …

This paper presents experiments on Optical character recognition (OCR) of historical
newspapers and journals published in Finland. The corpus has two main languages …

The recognition of Japanese handwritten characters has always been a challenge for
researchers. A large number of classes, their graphic complexity, and the existence of three …

This paper introduces a new image-based handwritten historical digit dataset named Arkiv
Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish …

Renewable energy comes from natural resources that replenish more quickly than they are
used up. Compared with burning fossil fuels, producing renewable energy produces a lot …