eScriptorium: An Open Source Platform for Historical Document Analysis Page 1 eScriptorium: An
Open Source Platform for Historical Document Analysis 1st Benjamin Kiessling PSL University …

The word and character segmentation in ancient handwritten Devanagari (Indian) and
Maithili (Indian) documents in order to develop any optical character recognition (OCR) …

Historical Document Processing (HDP) is the process of digitizing written material from the
past for future use by historians and other scholars. It incorporates algorithms and software …

Automating organizational processes typically involves document processing techniques for
a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm …

UNESCO has classified 2500 out of 7000 languages spoken worldwide as endangered.
Attrition of a language leads to loss of traditional wisdom, folk literature, and the essence of …

Before the advent of digital formats, microfiche, a type of microform, was widely utilized for
archiving and preserving historical documents. As a result, numerous historical collections …

Multidimensional Long Short-Term Memory (MD-LSTM) neural network is an extension of
one-dimensional LSTM for data with more than one dimension. MD-LSTM achieves state-of …

In this paper, we consider how to incorporate psychophysical measurements of human
visual perception into the loss function of a deep neural network being trained for a …

This paper presents a new perspective of text area segmentation from document images
using a novel adaptive thresholding for image enhancement. Using sliding windows, the …

Recognizing Arabic script is challenging for many reasons: The Arabic language is cursive
and morphologically rich. There is a high similarity between Arabic letters. Moreover, Arabic …