Datasets of documents in Arabic are urgently needed to promote computer vision and
natural language processing research that addresses the specifics of the language …

Arabic document analysis is essential in geometrical information extraction from complex
structures in Arabic documents, which can either be historical or modern. This information …

Millions of individuals in the Arab world have significant visual impairments that make it
difficult for them to access printed text. Assistive technologies such as scanners and screen …

Raster-image PDF files originating from scanning or photographing paper documents are
inaccessible to both text search engines and screen readers that people with visual …

Logical layout analysis, which determines the function of a document region, for example,
whether it is a title, paragraph, or caption, is an indispensable part in a document …

Developing an assistive system for visually impaired people using computer vision is an
active area of research. The proposed assistive system is developed in an aim to be …

Successful physical layout analysis (PLA) is a key factor in the performance of text
recognizers and many other applications. PLA solutions for scanned Arabic documents are …

In this study we apply a CNN (convolutional neural network) to segment a document image
into its page components. Our approach consists of two main steps. Firstly, there is a new …

Physical Layout Analysis (PLA) is a necessary step to recognize the contents of a digital
document. PLA includes segmenting the document image and identifying the content type of …

The intention behind this research is to present an original work undertaken for Arabic
character extraction and recognition for attaining higher percentage of recognition rate …