Envisioning the Future: Proposing an Advanced OCR System for Ancient Malayalam Manuscripts

This proposal presents a visionary OCR system designed to confront the unique challenges posed by ancient Malayalam manuscripts. Unlike conventional OCR technologies, which struggle with the intricate scripts and degradation common to historical documents, this proposed system leverages cutting-edge advancements in deep learning and image processing. Our approach not only aims to significantly improve the accuracy of character recognition but also to ensure the preservation and accessibility of Kerala’s rich literary heritage for future generations. We employ a hybrid deep learning approach, combining Convolutional Neural Networks (CNNs) for robust feature extraction from images and Long ShortTerm Memory (LSTM) networks to accurately recognize and sequence the ancient scripts. Our methodology encompasses comprehensive data collection, meticulous preprocessing to enhance image quality, and iterative model training with extensive validation. Through a collaborative effort, we seek to bridge the gap between traditional preservation methods and modern technological solutions, fostering a new era in the digitization of ancient texts.