Skip to main content
SpringerLink
Log in

A Map Legend Understanding System

  • Conference paper
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 131))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhau, R.W., Quek, C., Ng, G.S.: A novel single pass thinning algorithm and an effective set of performance criteria. Pattern Recognition Letters (1995), doi:10.1016/0167-8655(95)00078-X

    Article  Google Scholar 

  2. Reiher, E., Li, Donne, Lalonde, Hayne, Zhu: A system for efficient and robust map symbol recognition. In: IEEE Proceedings of ICPR 1996, pp. 783–787 (1996)

    Google Scholar 

  3. Li, F., Gao, S.: Character Recognition System Based on Back-propagation Neural Network. In: International Conference on Machine Vision and Human-Machine Interface, pp. 393–396 (2010)

    Google Scholar 

  4. Ebi, N.B.: Image interpretation of topographic maps on a medium scale via frame-based modeling, pp. 250–253. IEEE (1995)

    Google Scholar 

  5. Kasturi, R., Alemany, J.: Information extraction from images of paper-based maps. IEEE Transactions of Software Engineering 14(5), 671–675 (1988)

    Article  Google Scholar 

  6. Lee, S.-W.: Off-line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network. IEEE Transactions on Pattern Analysis and Machine Intelligence 18(6), 648–652 (1996)

    Article  Google Scholar 

  7. Haykin, S.: Neural networks a comprehensive foundation, 2nd edn., pp. 112–123. Pearson Education, Delhi (2000)

    Google Scholar 

  8. Yang, C., Wang, Jing, Q.: Extracting contour lines from common-conditioned topographic maps. IEEE Transactions on Geosciences and Remote Sensing 44(4), 1048–1057 (2006)

    Article  Google Scholar 

  9. David, Y., Krishana Reddy, D.: Digital image process techniques based on edge feature extraction. International Journal of Advanced Engineering & Application, 102–105 (January 2011)

    Google Scholar 

  10. Cue, F.-Y., Zou, L.-J., Song, B.: Edge Feature Extraction Based on Digital Image Processing Techniques. In: Proceedings of the IEEE, International Conference on Automation and Logistics, China, September 2008, pp. 2320–2324 (2008)

    Google Scholar 

  11. Shafi, I., Ahmed, J., Shah, S.I., Kasif, F.: Impact of Varying Neurons and Hidden Layers in Neural Network Architecture for a Time Frequency Application. In: IEEE Multitopic Conference, INMIC 2006, pp. 188–193 (2006)

    Google Scholar 

  12. Hussan, H.T., Khalid, M.U., Imran, K.: Intelligent Object and Pattern Recognition using Ensembles in Back propagation neural network. International Journal of Electrical and Computer Sciences IJECS-IJENS 10(6), 52–59 (2010)

    Google Scholar 

  13. Stergiou, C., Siganos, D.: Neural Networks, Imperial College of London (1996), http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html#Contents

  14. O’Neill, M.: Neural Network for Recognition of Handwritten Digits (2006), http://www.codeproject.com/KB/library/NeuralNetRecognition.aspx

Download references

Author information

Authors and Affiliations

  1. Geomatics Engineering, Deptt. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India

    Gitanjali Ganpatrao Nikam

  2. Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India

    J. K. Ghosh

Authors
  1. Gitanjali Ganpatrao Nikam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. J. K. Ghosh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gitanjali Ganpatrao Nikam .

Editor information

Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer India Pvt. Ltd.

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-0491-6_5

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-0490-9

  • Online ISBN: 978-81-322-0491-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation