ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents
Keyword spotting (KWS) in historical documents is an important tool for the initial exploration
of digitized collections. Nowadays, the most efficient KWS methods are relying on machine …
of digitized collections. Nowadays, the most efficient KWS methods are relying on machine …
Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey
E Sánchez-DelaCruz, CI Loeza-Mejía - Applied Intelligence, 2024 - Springer
Ancient manuscripts store historical, literary, cultural, and geographical information.
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …
Binarizing Documents by Leveraging both Space and Frequency
Abstract Document Image Binarization is a well-known problem in Document Analysis and
Computer Vision, although it is far from being solved. One of the main challenges of this task …
Computer Vision, although it is far from being solved. One of the main challenges of this task …