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 …

Palm-leaf manuscripts are historical records written mainly in many local languages in many
South Asian countries. These texts have suffered damage over many years and centuries …

Digitization and Recognition of handwritten documents have become popular with the
growth of advances in Computing. Even after the introduction of new technologies …

One important and challenging issue in handwritten character recognition is the
discrimination of visually similar characters. In this paper, we propose a character …

Character segmentation is an important task in optical character recognition (OCR). The
quality of any OCR system is highly dependent on character segmentation algorithm …

Archaeological departments throughout the world have undertaken massive digitization
projects to digitize their historical document corpus. In order to provide worldwide visibility to …

This paper presents Enhancement of Palm-Leaf Manuscript as noise occurred in images. It's
suitable for Segmentation. The proposed method consists of image adjustment, contrast …

Lanna Dhamma alphabet was used mainly for religious communication in the ancient Lanna
Kingdom of Thailand. The old manuscripts using this alphabet are gradually decayed. It is …

This paper proposes an efficient method for segmentation and recognition of handwritten
characters from Tulu palm leaf manuscript images. The proposed method uses an …

Document Processing Using Machine Learning aims at presenting a handful of resources
for students and researchers working in the document image analysis (DIA) domain using …