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Optical Character Recognition of Sanskrit Manuscripts using Convolution Neural Networks by Bhavesh Chakurbhai Kataria at Abbey's Bookshop,
Optical Character Recognition of Sanskrit Manuscripts using Convolution Neural Networks
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Bhavesh Chakurbhai Kataria

Optical Character Recognition of Sanskrit Manuscripts using Convolution Neural Networks

Bhavesh Chakurbhai Kataria

$107.95   $86.02

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English
Eliva Press
11 September 2024
Electronics engineering; Computer science
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.
By:  
Imprint:   Eliva Press
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 9mm
Weight:   218g
ISBN:   9789999321716
ISBN 10:   9999321712
Pages:   158
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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