Recently, tampered text detection in document image has attracted increasingly attention
due to its essential role on information security. However, detecting visually consistent …

In this paper, we propose a new font and size identification method for ultra-low resolution
Arabic word images using a stochastic approach. The literature has proved the difficulty for …

Nowadays, document forgery is becoming a real issue. A large amount of documents that
contain critical information as payment slips, invoices or contracts, are constantly subject to …

Font recognition is useful for improving optical text recognition systems' accuracy and time,
and to restore the documents' original formats. This paper addresses a need for Arabic font …

Many methods have been proposed for Arabic font recognition, but none of them has
considered the specialty of the Arabic writing system. Most of these methods are either …

Optical Font Recognition is one of the main challenges in this time. The available methods of
optical font recognition are deal with the recent documents and fonts types. However, there …

Lane detection on roads is essential for autonomous vehicles. Most previous studies
detected the area of the road and all possible lanes built on it, whereas only the specific lane …

In this study we proposed a new approach to recognize Artistic Arabic calligraphy types
which are handwritten scripts written by special calligraphy pen. The nature of the structural …

Invariant descriptor for shape and texture image recognition usage is an essential branch of
pattern recognition. It is made up of techniques that aim at extracting information from shape …

Handwriting recognition is a very challenging problem. Much work has been done on the
recognition of Latin characters but limited work has been done on recognizing Arab …