Optical Character Recognition of Sanskrit Manuscripts using Convolution Neural Networks

Price: $57.98
(as of Dec 26,2024 16:29:42 UTC – Details)

Publisher ‏ : ‎ Eliva Press (November 26, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 157 pages
ISBN-10 ‏ : ‎ 9999321712
ISBN-13 ‏ : ‎ 978-9999321716
Item Weight ‏ : ‎ 10.4 ounces
Dimensions ‏ : ‎ 6 x 0.36 x 9 inches

Optical Character Recognition (OCR) technology has revolutionized the way we interact with written texts, allowing for quick and accurate conversion of printed or handwritten text into digital format. However, OCR systems are often limited in their ability to accurately recognize characters from languages with complex scripts, such as Sanskrit.

Sanskrit is an ancient language that has been used in the Indian subcontinent for thousands of years, and its script, Devanagari, is known for its intricate and ornate characters. Recognizing these characters accurately can be a challenge for traditional OCR systems, which are typically trained on more common scripts like Latin or Cyrillic.

In recent years, researchers have been exploring the use of Convolutional Neural Networks (CNNs) for OCR of Sanskrit manuscripts. CNNs are a type of deep learning model that have shown great success in image recognition tasks, making them well-suited for the complex and detailed characters of Devanagari script.

By training CNNs on a large dataset of Sanskrit manuscripts, researchers have been able to create OCR systems that can accurately recognize and transcribe Sanskrit text with high precision. These systems have the potential to greatly accelerate the digitization of Sanskrit manuscripts, making these valuable historical texts more accessible to researchers and scholars around the world.

Overall, the use of CNNs for OCR of Sanskrit manuscripts represents an exciting development in the field of digital humanities, and holds great promise for preserving and disseminating this important cultural heritage.
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