Open AccessDetection, Localization of Text in Images by Mser and Enhanced Swt
Author(s) -
Mrs. S. Shiyamala,
S. Suganya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9612.0881019
Subject(s) - computer science , artificial intelligence , text detection , contrast (vision) , computer vision , transformation (genetics) , enhanced data rates for gsm evolution , edge detection , text recognition , pattern recognition (psychology) , image (mathematics) , noise (video) , image processing , biochemistry , chemistry , gene
The number digital images and digital videos has raised highly. The text shows in the images is major thing for fully understanding the images. So it is very signifigant to recognize the text. First step of text recognization system is known as text detection. But detecting text from images is very challenging and it is receiving high amount of concentration. Text detection is improved by pre-procssing techniques like noise removal, contrast changes and etc. Recently MSER (Maximally Stable Edge Region) and SWT (Stroke Width Transformation) methods are used seperately or combined with each other for detecting and localizing text. This paper analyzes and compares technical challenges and performance of above methods and take in new and fast method for text detection and localization. The proposed method comprises an enhanced technique based on SWT which combined with MSER. The proposed method detect wording which is located in differnt directions, different angle and combined letters. Performance of exisisting and proposed methods on road signal images depicted in experimental results.