Optical Character Recognition of Sanskrit Manuscripts using Convolution Neural Networks - Couverture souple

Kataria, Bhavesh Chakurbhai

Couverture souple

ISBN 10 : 9999321712 ISBN 13 : 9789999321716

Editeur : Eliva Press, 2024

Synopsis

Optical Character Recognition of Sanskrit Manuscripts Using Convolution Neural Networks delves into the cutting-edge application of deep learning for deciphering Sanskrit manuscripts written in Devanagari script. Tackling one of the most challenging tasks in OCR—recognizing Sanskrit’s intricate characters and symbols—this work presents a robust system designed to enhance recognition accuracy for scanned text images. By employing advanced architectures such as Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Bidirectional LSTM, alongside traditional classifiers like k-Nearest Neighbors (KNN) and Support Vector Machines (SVM), the research achieves remarkable accuracy rates. Beyond single-touching characters, it innovatively addresses overlapping lines, connected letters, and half-characters, providing solutions to limitations in existing systems. With a peak recognition accuracy of 98.64% for mixed Sanskrit text, this study is a vital contribution to the preservation and digitization of ancient literature. It opens new doors to computational linguistics, ensuring Sanskrit's cultural heritage thrives in the digital age.

Détails de l'édition

• Éditeur: Eliva Press
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 9999321712
• ISBN 13: 9789999321716
• Reliure: Broché
• Nombre de pages: 157
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible