This study investigates the adaption and digitalization development of Buddhist libraries in
the current mobile computing age and proposes a three-level pyramid model of Buddhist …

An optical character recognition (OCR) system plays an important role in the digitization of
ancient handwritten text document. Various adversaries of ancient documents such as ink …

An optical character recognition (OCR) system segments the character from the given
document before recognizing it. The recognition of such character images requires the class …

Any optical character recognition (OCR) system recognizes each and every character
present in any document image. But, the task of performing OCR in ancient handwritten …

The text lines of ancient Tibetan books are skewed and distorted, strokes are broken, and
complex adjacent text lines touch each other, which makes text line segmentation extremely …

This paper presents a new computational backend model that supports Arabic document
information retrieval (ADIR) as a dataset and OCR services. Therefore, different services that …

Shadow detection and removal is an important task for digitized document applications. It is
hard for many methods to distinguish shadow from printed text due to the high darkness …

This paper focuses on the segmentation of unconstrained handwritten documents
containing bilingual data at the word level. Most of the official documents available in India …

Tibetan is a low-resource language, and Tibetan culture carried by historical Tibetan
documents is an important part of Chinese civilization. The study of historical Tibetan …

Accurate layout analysis without subsequent text-line segmentation remains an ongoing
challenge, especially when facing the Kangyur, a kind of historical Tibetan document …