In recent years, lane detection has become one of the most important factors in the progress
of intelligent vehicles. To deal with the challenging problem of low detection precision and …

Defect detection is crucial in the quality control of industrial applications. Existing supervised
methods are heavily reliant on the large amounts of labeled data. However, labeled data in …

Power quality issues are required to be addressed properly in forthcoming era of smart
meters, smart grids and increase in renewable energy integration. In this paper, Deep Auto …

In this study, a novel technique is proposed to recognize printed text in images for Urdu, a
low-resource language with a scarcity of benchmark datasets. The proposed technique is …

The Ottoman script, which was in use for over five centuries, is an Arabic alphabet-based
writing system. It became obsolete after the change of alphabet in Turkey. There are plenty …

News ticker recognition is a vital area of research due to its applications such as information
analysis, opinion mining and language translation for media regulatory authorities. Without …

With the accelerated pace of digitization, a vast collection of Ottoman documents has
become accessible to researchers and the general public. However, most users interested …

Recognizing Arabic script is challenging for many reasons: The Arabic language is cursive
and morphologically rich. There is a high similarity between Arabic letters. Moreover, Arabic …

The development of Arabic language skills mostly targets Muslim communities. However,
there are specific obstacles to the acquisition of these language skills in higher education …

In the domain of handwritten character recognition, inpainting occluded offline characters is
essential. Relying on the remarkable achievements of transformers in various tasks, we …