In this era of digitization, most hardcopy documents are being transformed into digital
formats. In the process of transformation, large quantities of documents are stored and …

This review provides a comprehensive view of the field of historical document image
binarization with a focus on the contributions made in the last decade. After the introduction …

Binarization of degraded historical manuscript images is an important pre-processing step
for many document processing tasks. We formulate binarization as a pixel classification …

Document images can be affected by many degradation scenarios, which cause recognition
and processing difficulties. In this age of digitization, it is important to denoise them for …

Handwritten document images can be highly affected by degradation for different reasons:
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …

Binarization plays a key role in the automatic information retrieval from document images.
This process is usually performed in the first stages of document analysis systems, and …

This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

Database applications that use multi-terabyte datasets are becoming increasingly important
for scientific fields such as astronomy and biology. Scientific databases are particularly …

In this paper, we propose a Text-Degradation Invariant Auto Encoder (Text-DIAE), a self-
supervised model designed to tackle two tasks, text recognition (handwritten or scene-text) …

Palm leaf manuscripts offer a rich source of data critical for document analysis tasks,
including character, word, and text analysis. However, their cleaning and denoising present …