Abstract
The objective of this paper is to explain the design of a system to automatically interpret information from scanned Indian topographic map legends set. The fundamental of the system are image analysis algorithms- Edge detection algorithm and line thinning algorithm to extract pattern and shape features from images of scanned topographic map legends. The recognition is based on feed forward back propagation neural network. The system is implemented in Java and back end provided for an application is XML file. The configurable sliders provided in application allows for 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 result gives 93.75% of accuracy.
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Nikam, G.G., Ghosh, J.K. (2012). A Map Legend Understanding System. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 131. Springer, New Delhi. https://doi.org/10.1007/978-81-322-0491-6_5
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DOI: https://doi.org/10.1007/978-81-322-0491-6_5
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-0490-9
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