Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …

In recent years, Handwritten Text Recognition (HTR) has captured a lot of attention among
the researchers of the computer vision community. Current state-of-the-art approaches for …

The increasing portability of physical manuscripts to the digital environment makes it
common for systems to offer automatic mechanisms for offline Handwritten Text Recognition …

Abstract Offline Handwritten Text Recognition (HTR) systems concern the automatic
recognition and transcription of handwritten text from scanned images to digital media …

Abstract Handwritten Text Recognition (HTR) systems have gained interest in fields of
academic research and commercial applications. Deep learning techniques, and more …

This paper presents a comprehensive test of the principal tasks in document image analysis
(DIA), starting with binarization, text line segmentation, and isolated character/glyph …

Automatic handwriting recognition systems are of interest for academic research fields and
for commercial applications. Recent advances in deep learning techniques have shown …

The evaluation process necessitates significant work in order to effectively and impartially
assess the growing number of new subjects and interests in courses. This paper aims at …

Abstract Handwritten Text Recognition (HTR) is a challenging task due to the complex
structures and variations present in handwritten text. In recent years, the application of gated …

Archives and libraries are increasingly investing in mass-digitization, but until recently transcriptionsofmanuscriptswerecostlytogen…
. HandwrittenTextRecognition (HTR) technology is now transforming access to our written …