This paper proposes the use of a new neural network architecture that combines a deep
convolutional neural network with an encoder–decoder, called sequence to sequence, to …

Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …

Academic Crowdsourcing in the Humanities lays the foundations for a theoretical framework
to understand the value of crowdsourcing, an avenue that is increasingly becoming …

Abstract The Global Sea Level Observing System (GLOSS) Group of Experts (GE) data
archaeology group is collating tools and producing guidelines for historic sea level data …

In Codice Ratio is a research project to study tools and techniques for analyzing the contents
of historical documents conserved in the Vatican Secret Archives (VSA). In this paper, we …

Text line segmentation is the process by which text lines in a document image are localized
and extracted. It is an important step in off-line Handwritten Text Recognition (HTR) given …

Historical palm-leaf manuscript and early paper documents from Indian subcontinent form
an important part of the world's literary and cultural heritage. Despite their importance, large …

Handwritten text recognition is an open problem of great interest in the area of automatic
document image analysis. The transcription of handwritten content present in digitized …

Automatic transcription of historical handwritten documents is a challenging research
problem, requiring in general expensive transcriptions from expert paleographers. In Codice …