Abrar Al Sayem
ABSTRACT
Character recognition (CR) has been the subject of substantial research over the past half century and has now reached a level of development that is adequate to build applications driven by technology. Now, the fast expanding computer power makes it possible to execute the existing Optical Character Recognition (OCR) approaches and produces an increasing demand in a wide variety of emergent application domains that call for more advanced methodologies. Scanning the paper and entering the digitized image into a computer system is one of the quickest and easiest ways to save text information. After that, it will be saved on the computer, and if necessary, alterations can be made to it as well. However, recognizing the text in an image that has been recorded is a very difficult challenge to accomplish. As a result, The Tesseract method has been employed to extract text from images, simplifying the process of doing so.
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Index Terms
- Implementing the Tesseract Method for Information Extraction from Images
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