Urdu text is a cursive script and belongs to a non-Latin family of other cursive scripts like
Arabic, Chinese, and Hindi. Urdu text poses a challenge for detection/localization from …

An offline handwriting recognition system for Urdu, a language with a user base of 200
Million and written in Nastaleeq script, has been a challenge for the research community …

The cursive nature of the Urdu text, where a particular character concatenated in different
words forms different shapes, makes it a complicated language for automatic character …

Unconstrained off-line handwriting text recognition in general and for Arabic-like scripts in
particular is a challenging task and is still an active research area. Transformer-based …

The performance of handwriting recognition systems has undergone significant
improvement in recent years. However, the accuracy of these systems for multiple cursive …

Urdu text recognition (handwritten or printed) remains a challenging task due to its diverse
writing styles and fonts. State-of-the-art Transformer-based OCR systems are …

Content based information search and retrieval has allowed for easier access to data. While
Latin based scripts have gained attention and support from academia and industry, there is …

We present a holistic technique for recognition of text in cursive scripts using printed Urdu
ligatures as a case study. Convolutional neural networks (CNNs) are trained on high …

Various types of degradation in document images, such as blurring, shadow, and physical
wear and tear, significantly impact the effectiveness of downstream tasks in multimedia …