Title :
A Novel Algorithm for Text Detection and Localization in Natural Scene Images
Author :
Karaoglu, Sezer ; Fernando, Basura ; Tremeau, Alain
Author_Institution :
Erasmus Mundus CIMET Master, St. Etienne, France
Abstract :
Text data in an image present useful information for annotation, indexing and structuring of images. The gathered information from images can be applied for devices for impaired people, navigation, tourist assistance or georeferencing business. In this paper we propose a novel algorithm for text detection and localization from outdoor/indoor images which is robust against different font size, style, uneven illumination, shadows, highlights, over exposed regions, low contrasted images, specular reflections and many distortions which makes text localization task harder. A binarization algorithm based on difference of gamma correction and morphological reconstruction is realized to extract the connected components of an image. These connected components are classified as text and non test using a Random Forest classifier. After that text regions are localized by a novel merging algorithm for further processing.
Keywords :
feature extraction; image classification; image reconstruction; image resolution; indexing; text analysis; binarization algorithm; gamma correction; image annotation; image indexing; low contrasted image; morphological reconstruction; natural scene image localization; random forest classifier; specular reflection; text data; text detection; text feature extraction; uneven illumination; Algorithm design and analysis; Classification algorithms; Feature extraction; Merging; Pixel; Robustness; Shape; Text Binarization; Text feature extraction; Text localization; random forest classifier;
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-8816-2
Electronic_ISBN :
978-0-7695-4271-3
DOI :
10.1109/DICTA.2010.115
