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Advancements in optical character recognition for enhanced text digitization

The Pharma Innovation · 2019 · Vol. 8(3) · pp. 570–573
Akhil Sharma

Abstract

This study goal is to provide a means of bridging the language division between countries and between states within a country. The code mentioned above will handle the application's numerous features. To communicate in an expressive manner, the application recognizes text images in one language and converts them to another user-defined language. It has three modules that comprise text recognition, translation, and audio of the translated language. In addition, the application receives typed content and translates it into the required language. The application can detect text in images saved in the system or shot with a camera, translate the text into the required language, and display the translation result on the system's screen.

Handwritten Text Recognition TechniquesVehicle License Plate RecognitionSmart Agriculture and AIDigitizationOptical character recognitionCharacter (mathematics)Computer scienceCharacter recognitionNatural language processingInformation retrievalArtificial intelligenceComputer visionImage (mathematics)
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Advancements in optical character recognition for enhanced text digitization · Scinovex