Photovoltaic (PV) is one of the most promising renewable energy sources. To ensure secure
operation and economic integration of PV in smart grids, accurate forecasting of PV power is …

Recent developments in recognition of cursive scripts rely on implicit feature extraction
methods that provide better results as compared to traditional hand-crafted feature extraction …

Work on the problem of handwritten text recognition in Urdu script has been an active
research area. A significant progress is made in this interesting and challenging field in the …

In the area of pattern recognition and pattern matching, the methods based on deep learning
models have recently attracted several researchers by achieving magnificent performance …

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 …

Optical Character Recognition (OCR) is a technique that generates text from an image.
Recognizing the importance of OCR in real-world settings, a plethora of techniques have …

Recognition of cursive handwritten text is a complex problem due challenges like context
sensitive character shapes, non-uniform inter and intra word spacings, complex positioning …

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 …

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 …

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 …