Disadvantages of OCR
- All text are not always converted and prone to error based on quality of image.
- Handwritten images return poor result due to variety of handwriting of people.
Optical Character Recognition (Ocr) Using R
OCR transforms text images into machine-readable formats. With applications ranging from receipts to license plates, we explore the process, syntax, and examples, demonstrating its versatility. In this tutorial, we will learn to perform Optical Character Recognition in R programming language using the Tesseract and Magick libraries.