An Overview of Advanced Technologies Applied to Identified Printed and Handwritten Text in Gurmukhi Script: A Review
Keywords:
Feature extraction, CNN, Holistic approach, MLP, RDP algorithmAbstract
Handwriting recognition of Gurmukhi is an area of research which has gained traction in recent years. This paper reviews the state of the art of handwriting recognition for Gurmukhi. A brief overview of the various approaches used for Gurmukhi handwriting recognition, their benefits and drawbacks, the current challenges and the future research directions is presented. Specifically, the review will focus on the recent advances in deep learning models, feature extraction techniques, and preprocessing strategies. It further examines the challenges and potential areas of improvement in the field of Gurmukhi handwriting recognition. Finally, it provides insights into the potential applications of this technology and the opportunities for future research in the area. The paper concludes by highlighting the importance of handwriting recognition for Gurmukhi and the need for further research and development in the field.
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