Multilingual Text Detection with Nonlinear Neural Network
Joint Authors
Li, Lin
Zhong, Luo
Li, Xiaozhen
Yu, Shengsheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-11
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Lin& Yu, Shengsheng& Zhong, Luo& Li, Xiaozhen. 2015. Multilingual Text Detection with Nonlinear Neural Network. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073827
Modern Language Association (MLA)
Li, Lin…[et al.]. Multilingual Text Detection with Nonlinear Neural Network. Mathematical Problems in Engineering No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1073827
American Medical Association (AMA)
Li, Lin& Yu, Shengsheng& Zhong, Luo& Li, Xiaozhen. Multilingual Text Detection with Nonlinear Neural Network. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1073827
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073827