Survey on Sanskrit Script Recognition
| Autor: | Shubham S. Bhurke, Vina M. Lomte, Akshay U. Pednekar, Pranay M. Kolhe |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Character (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Optical character recognition computer.software_genre language.human_language Field (computer science) ComputingMethodologies_PATTERNRECOGNITION Documentation Script recognition Devanagari ComputingMethodologies_DOCUMENTANDTEXTPROCESSING language Artificial intelligence Sanskrit business computer Character recognition Natural language processing |
| Zdroj: | International Conference on Mobile Computing and Sustainable Informatics ISBN: 9783030497941 |
| DOI: | 10.1007/978-3-030-49795-8_73 |
| Popis: | In recent times Sanskrit script recognition has a great significance in the field of preserving ancient documentation. Ancient documentation in India is mainly written in Devanagari script. This documentation is mostly written in Sanskrit language. The proposed system uses neural networks to recognize the text present in ancient documentation through an input image. Character Recognition- The process of recognizing handwritten character or Printed character. It is generally known as OCR (optical character recognition) which translates electronic images, handwritten, typewritten, or printed text to machine editable. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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