文章基本信息

标题：Soft Computation Based Topographic Map Legend Understanding System
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作者：Nikam Gitanjali Ganpatrao ; Jayanta Kumar Ghosh
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：1
页码：116-120
出版社：International Journal of Soft Computing & Engineering
摘要：The goal of the study is to devise an intelligent system to understand topographic map automatically. This paper explains the design of a system to automatically interpret information from scanned Indian topographic map legends set. A method based on perception of shape provides a collective understanding of size, form and orientation as that of human psycho-visual approach, is required towards development of a topographic map legends understanding system. The fundamental of the system are map legend analysis algorithms- Edge detection algorithm and line thinning algorithm to extract patterns and shape features from images of scanned topographic map legends and describe it as primitives which is building entity of shape of legend. An approach is based on feature extraction model and back propagation neural network which allows efficient and coherent management of map legends, recognition processes, recognition results. The system incorporates shape feature and uses back propagation neural network for recognition. The experimental results show that developed system performs well in recognition and understanding of map legends.
关键词：Back propagation neural network; Edge;detection; Legend primitives; Map understanding; Syntactic;pattern recognition; Thinning algorithm;.