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Multilingual Text Detection with Nonlinear Neural Network
2015
Mathematical Problems in Engineering
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
doi:10.1155/2015/431608
fatcat:gsw3rhy755cphjl3wwk2v5on5u