Review on text detection and recognition in images
Mahima Kataria, Prashansa Gupta, Shivani Singh, Vani Bansal, M. Ravinder · 2021
In recent years, text detection and recognition in images have become very significant and beneficial because images generally tend to contain prominent and precise information that can be made used for various purposes. The text contained in the images is of great importance in some vision-based applications and therefore has become a topic of academic research in areas like document analysis and computer vision where lots of efforts are being put in developing and implementing techniques that can efficiently extract textual information from images. The purpose of this paper is to discuss and evaluate the importance of text detection and recognition in computer vision applications and the various challenging problems it leads to while developing and analyzing solutions for its practical implementation with significant accuracy and desired results. This paper further focuses on different approaches proposed and developed so far with their achieved performances across various benchmarks. It further analyses various existing problems in text detection and recognition and then discusses different methodologies including step-wise methodologies and integrated methodologies.