Text Recognition Using Image Processing Technology for Visiting Card
DOI:
https://doi.org/10.32628/CSEIT228652Keywords:
Image Processing, Machine Learning, Visiting Card, Business Card, Feature Extraction, Natural Language Processing, Classification, , Image Dataset, Database, Text Extraction, Features Exploration, Pre-processing, Testing.Abstract
Image recognition and optical character recognition technologies have become an integral part of our daily lives due to increasing computing power and the proliferation of scanning devices. A printed document can be quickly converted to a digital text file using optical character recognition and edited by the user. The time required to digitize documents is therefore minimal. This is especially useful when archiving large print volumes. In this study, we show how image processing techniques can be used in combination with optical character recognition to improve recognition accuracy and improve efficiency in extracting text from images. Two of his software systems are developed and tested in this study: a character recognition system applied to cosmetics-related advertising images and a recognition and text recognition system for natural scenes. Experimental results show that the proposed system can accurately recognize text in images.
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