Litcius/Paper detail

Optical character recognition system using artificial intelligence

Muthusundari Muthusundari, A Velpoorani, S Venkata Kusuma, L Trisha, Om.k. Rohini

2024LatIA12 citationsDOIOpen Access PDF

Abstract

Abstract A technique termed optical character recognition, or OCR, is used to extract text from images. An OCR the system's primary goal is to transform already present paper-based paperwork or picture data into usable papers. Character as well as word detection are the two main phases of an OCR, which is designed using many algorithms. An OCR also maintains a document's structure by focusing on sentence identification, which is a more sophisticated approach. Research has demonstrated that despite the efforts of numerous scholars, no error-free Bengali OCR has been produced. This issue is addressed by developing an OCR for the Bengali language using the latest 3.03 version of the Tesseract OCR engine for Windows.

Topics & Concepts

Character (mathematics)Character recognitionArtificial intelligenceOptical character recognitionComputer sciencePattern recognition (psychology)MathematicsGeometryImage (mathematics)Cloud Data Security SolutionsCryptography and Data SecurityCloud Computing and Remote Desktop Technologies