[1]LYU Guoning,GAO Min.Scene text detection and localization scheme with visual perception mechanism[J].CAAI Transactions on Intelligent Systems,2017,12(4):563-569.[doi:10.11992/tis.201604011]
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Scene text detection and localization scheme with visual perception mechanism

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 12 Number of periods: 2017 4 Page number: 563-569 Column: 学术论文—机器感知与模式识别 Public date: 2017-08-25
Title:
Scene text detection and localization scheme with visual perception mechanism
Author(s):
LYU Guoning1;  GAO Min2
1. Network Management Center, Zheng Zhou Normal University, Zheng Zhou 450044, China;
2. School of Information Science and Technique, Zheng Zhou Normal University, Zheng Zhou 450044, China
Keywords:
visual perception; visual saliency; swt; scene text; text detection and localization; visual attention; Chinese text; English text
CLC:
TP18;TP39
DOI:
10.11992/tis.201604011
Abstract:
To solve the detection problem with respect to the interference of complex backgrounds in natural scenes, in this paper, we propose a scene text detection and localization scheme based on a visual perception mechanism. The human visual perception mechanism is commonly divided into the fast parallel pre-attention step and the slow serial attention step. In our proposed scheme, we first precedes the pre-attention step with two visual saliency methods and then implement the attention step using a stroke feature and the relationship between characters. Our experimental results show the scheme to be competitive with respect to the ICDAR 2013 and the scene Chinese-character dataset. It is also suitable for English and Chinese character detection of natural scenes under complex background conditions.
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Last Update: 2017-08-25

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