Proceedings ArticleDOI
A robust algorithm for text detection in images
Julinda Gllavata,Ralph Ewerth,Bernd Freisleben +2 more
- Vol. 2, pp 611-616
TLDR
An efficient algorithm which can automatically detect, localize and extract horizontally aligned text in images (and digital videos) with complex backgrounds is presented.Abstract:
Text detection in images or videos is an important step to achieve multimedia content retrieval. In this paper, an efficient algorithm which can automatically detect, localize and extract horizontally aligned text in images (and digital videos) with complex backgrounds is presented. The proposed approach is based on the application of a color reduction technique, a method for edge detection, and the localization of text regions using projection profile analyses and geometrical properties. The output of the algorithm are text boxes with a simplified background, ready to be fed into an OCR engine for subsequent character recognition. Our proposal is robust with respect to different font sizes, font colors, languages and background complexities. The performance of the approach is demonstrated by presenting promising experimental results for a set of images taken from different types of video sequences.read more
Citations
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Proceedings ArticleDOI
Multiscale Edge-Based Text Extraction from Complex Images
Xiaoqing Liu,Jagath Samarabandu +1 more
TL;DR: A multiscale edge-based text extraction algorithm, which can automatically detect and extract text in complex images, and is robust with respect to the font size, style, color, orientation, and alignment of text.
Proceedings Article
Learning Fast Classifiers for Image Spam.
TL;DR: This paper presents features that focus on simple properties of the image, making classification as fast as possible, and introduces a new feature selection algorithm that selects features for classification based on their speed as well as predictive power.
Proceedings ArticleDOI
An edge-based text region extraction algorithm for indoor mobile robot navigation
Xiaoqing Liu,Jagath Samarabandu +1 more
TL;DR: This paper proposes an edge-based text region extraction algorithm, which is robust with respect to font sizes, styles, color/intensity, orientations, effects of illumination, reflections, shadows, perspective distortion, and the complexity of image backgrounds.
Journal ArticleDOI
Automatic detection and recognition of Korean text in outdoor signboard images
Jonghyun Park,Guee-Sang Lee,Eui-Chul Kim,Junsik Lim,Soo-Hyung Kim,Hyung-Jeong Yang,Myung-Hun Lee,Seong-taek Hwang +7 more
TL;DR: An automatic translation system for Korean signboard images is described, which includes detection and extraction of text for the recognition and translation of shop names into English and incorporates the database of shop Names to obtain the most probable result.
Journal ArticleDOI
A Low Complexity Sign Detection and Text Localization Method for Mobile Applications
TL;DR: This method is designed for mobile applications in which computational and energy resources are limited and the text of these images can be accurately localized within the device in a fraction of a second.
References
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Proceedings ArticleDOI
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Journal ArticleDOI
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