Methodologies that utilize Deep Learning offer great potential for applications that
automatically attempt to generate captions or descriptions about images and video frames …

We present a new dataset for form understanding in noisy scanned documents (FUNSD)
that aims at extracting and structuring the textual content of forms. The dataset comprises …

This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …

Abstract Optical Character Recognition (OCR) can open up understudied historical
documents to computational analysis, but the accuracy of OCR software varies. This article …

Books shape how children learn about society and norms, in part through representation of
different characters. We use computational tools to characterize representation in children's …

In this paper, we introduce an “on the device” text line recognition framework that is
designed for mobile or embedded systems. We consider per-character segmentation as a …

Growing numbers of artificial intelligence applications are being developed and applied to
pathology and laboratory medicine. These technologies introduce risks and benefits that …

Localization is one of the most important issues in mobile robotics, especially when an
autonomous mobile robot performs a navigation task. The current and popular occupancy …

Abstract Optical Character Recognition (OCR) is a very active research area in many
scientific disciplines like pattern recognition, natural language processing (NLP), computer …

Abstract Methodologies that utilize Deep Learning offer great potential for applications that
automatically attempt to generate captions or descriptions about images. Image captioning …