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Article type: Research Article
Authors: Tian, Xiaoguang* | Zhu, Dayong | Hou, Xiaorong
Affiliations: School of Automation, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
Correspondence: [*] Corresponding author: Xiaoguang Tian, Present address: Werner Reichardt Centre for Integrative Neuroscience, Otfried-Mueller-Str. 25, Tuebingen 72076, Germany. Tel.: +49 7071 29 88821; Fax: +49 7071 29 88821; E-mail:[email protected]
Abstract: Along with fast development of computer science, traditional recognition for the documents and literatures have replaced by the technique of computer auto-digitalization. Computer auto-digitalization is a popular technique which not only has the merit of low labor cost, but also has comprehensive functional extensions (multi-status, for the detection, recognition, classification and storage). However, the problem is centered in the reliability and adaptation. Bad compatibility and error-prone are universal features. So in this paper, taking a complex material, the civil aerial meteorological map, as experimental goal, we developed a novel system for the analysis of drawing map, and also introduced the detailed algorithms of it. The superiority of algorithms and efficiency of system in generating meaningful interpretation are clear from experimental results.
Keywords: Document analysis, segmentation, line interpretation, characters recognition
DOI: 10.3233/KES-160328
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 20, no. 1, pp. 1-20, 2016
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