Novel Approach for Image Text Recognition and Translation
Autor: | Srinandan Komanduri, Y. Mohana Roopa, M. Madhu Bala |
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Rok vydání: | 2019 |
Předmět: |
Computer science
Character (computing) business.industry 020206 networking & telecommunications 02 engineering and technology Text recognition Optical character recognition ASCII Translation (geometry) computer.software_genre Image (mathematics) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business computer Natural language processing |
Zdroj: | 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC). |
DOI: | 10.1109/iccmc.2019.8819784 |
Popis: | One of the most concerned problems of today is to exactly translate the text present in an image to a human readable text. This has been gaining attention these days because of the immense work done by the Computer Vision Community. The main important concept behind this technology is something called as OCR – Optical Character Recognition. With the help of the OCR, we can search and recognize the text in electronic documents and can easily convert them into human readable text. It converts electronic documents’ text into related ASCII character and if the document is a handwritten one, then the OCR uses database to recognize what character it is and try to solve it to its highest accuracy. |
Databáze: | OpenAIRE |
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