NDLI: Indian topographical map symbols understanding system

Content Provider	IET Digital Library
Author	Ganpatrao, Nikam Gitanjali Ghosh, Jayanta Kumar
Abstract	Symbol understanding is a pre-requisite for reading and interpretation of any map. Thus, any topographic map-based automated system needs to understand generic symbols associated with the set of maps. The objective of this study was to develop an automated system for the understanding of Survey of India topographic map symbols. The system has been developed making use of shape analysis adopting a complex-valued chain coding method for representation of the (exterior) boundary of the symbol. Fourier discrete transform and autocorrelation function have been used for shape descriptions. Classification and recognition have been implemented through a template matching method based on similarity measures. The system has been trained with 150 samples of 20 Indian topographic symbols and tested for 200 samples of each of the 20 symbols extracted from sample maps. Experimental results showed that the proposed method has an overall recognition rate of 84.68% as well as the improved mean average precision of symbol recognition. However, understanding of interconnected and/or crowded symbols may be taken up as future scope of this work.
Starting Page	300
Ending Page	308
Page Count	9
ISSN	17519632
Volume Number	9
e-ISSN	17519640
Issue Number	Issue 2, Apr (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/9/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2013.0311
Journal	IET Computer Vision
Publisher Date	2015-02-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autocorrelation Function Complex Valued Chain Coding Method Discrete Transforms Earth Sciences Fourier Discrete Transform Fourier Transforms Generic Symbols Geography And Cartography Computing Geophysical Technique And Equipment Indian Topographical Map Symbols Understanding System Integral Transforms Shape Analysis Shape Descriptions Template Matching Method Terrain Mapping Topographic Map Based Automated System Topography (Earth)
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Indian topographic map symbols understanding system

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