This paper presents a recognition system for handwritten Pashto letters. However,
handwritten character recognition is a challenging task. These letters not only differ in shape …

Documents scanning is still one of the widely used documents digitization steps; however,
skew in scanned documents is inevitable. If this skew is not corrected, the extraction of …

This paper gives an across-the-board comprehensive review and survey of the most
prominent studies in the field of Urdu optical character recognition (OCR). This paper …

Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that
converts document images into machine-readable codes. In DIA systems, Optical Character …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Developing an optimal …

Pashto is the native language of Afghanistan and one of Pakistan's most essential and
regional languages. The Pashto language has a vast number of native speakers who live in …

This paper presents a deep learning benchmark on a complex dataset known as KFUPM
Handwritten Arabic TexT (KHATT). The KHATT data-set consists of complex patterns of …

Although deep learning techniques have achieved promising results in several fields
including healthcare, monitoring, and smart cities, their application in handwriting …

Before the 19th century, all communication and official records relied on handwritten
documents, cherished as valuable artefacts by different ethnic groups. While significant …

During the last two decades significant work has been reported in the field of cursive
language's recognition especially, in the Arabic, the Urdu and the Persian languages. The …