A Study of The OCR Development History and Directions of Development
DOI:
https://doi.org/10.54097/bm665j77Keywords:
optical character recognition, deep learning, text extraction.Abstract
Optical character recognition (OCR) is a well-established technology that enables the conversion of scanned images and documents into editable and searchable electronic text. This technology has numerous applications across a range of industries and has proven to be a crucial tool for digitizing books, documents, and records. One of the main benefits of OCR technology is its ability to automate data entry processes, saving time and reducing errors that can be introduced through manual data entry. Additionally, OCR technology is used to extract text from images, which can be used as input data for machine learning and artificial intelligence applications. To better understand the current state of OCR technology, this systematic literature review is conducted that collected various research articles on the topic. The results of this paper provide insights into the strengths and limitations of OCR technology and also offer directions for future research in the field. In terms of language support, the paper found that OCR technology is capable of supporting a wide range of languages, including English, Spanish, Chinese, and many others. However, the accuracy of OCR technology can vary greatly based on the language, with some languages being more challenging to recognize than others. With continued advancements in technology and the increasing need for digitization, OCR technology will continue to play a crucial role in the development of many industries.
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