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Mathematical Problems in Engineering
Volume 2015, Article ID 431608, 7 pages
Research Article

Multilingual Text Detection with Nonlinear Neural Network

1School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China
2School of Computer Science, Huazhong University of Science and Technology, Wuhan 430070, China

Received 11 July 2015; Accepted 2 September 2015

Academic Editor: Xinguang Zhang

Copyright © 2015 Lin Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Multilingual text detection in natural scenes is still a challenging task in computer vision. In this paper, we apply an unsupervised learning algorithm to learn language-independent stroke feature and combine unsupervised stroke feature learning and automatically multilayer feature extraction to improve the representational power of text feature. We also develop a novel nonlinear network based on traditional Convolutional Neural Network that is able to detect multilingual text regions in the images. The proposed method is evaluated on standard benchmarks and multilingual dataset and demonstrates improvement over the previous work.