Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …

Process of information extraction (IE) is used to extract useful information from unstructured
or semi-structured data. Big data arise new challenges for IE techniques with the rapid …

The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …

In this paper, we propose a new neural network architecture for state-of-the-art handwriting
recognition, alternative to multi-dimensional long short-term memory (MD-LSTM) recurrent …

Text recognition in natural scene images is a challenging problem in computer vision.
Different than the optical character recognition (OCR), text recognition in natural scene …

Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …

According to statistics, there are 422 million speakers of the Arabic language. Islam is the
second-largest religion in the world, and its followers constitute approximately 25% of the …

Unconstrained text recognition in videos is a very challenging task that begins to draw the
attention of the OCR community. However, for Arabic video contents, this problem is much …

This paper proposes a dataset, called ALIF, for Arabic embedded text recognition in TV
broadcast. The dataset is publicly available for a non-commercial use. It is composed of a …

Urdu is a widely spoken and narrated language in several South-Asian countries and
communities worldwide. It is relatively hard to recognize Urdu text compared to other …