Text Detection and Recognition in images: A survey
Abstract
Text Detection and recognition is a one of the important aspect of image processing. This paper analyzes and compares the methods to handle this task. It summarizes the fundamental problems and enumerates factors that need consideration when addressing these problems. Existing techniques are categorized as either stepwise or integrated and sub-problems are highlighted including digit localization, verification, segmentation and recognition. Special issues associated with the enhancement of degraded text and the processing of video text and multi-oriented text are also addressed. The categories and sub-categories of text are illustrated, benchmark datasets are enumerated, and the performance of the most representative approaches is compared. This review also provides a fundamental comparison and analysis of the remaining problems in the field.
Cite
@article{arxiv.1803.07278,
title = {Text Detection and Recognition in images: A survey},
author = {Tanvi Goswami and Zankhana Barad and Prof. Nikita P. Desai},
journal= {arXiv preprint arXiv:1803.07278},
year = {2018}
}
Comments
The paper is found to be incomplete, it was just for assignment purpose so it was uploaded but some extra efforts are needed and supposed to have many changes because as a student we might not be aware of many things,so it might not be useful for others to refer it