Efficient System for Color Logo Recognition Based on Self-Organizing Map and Relevance Feedback Technique

  • Latika PinjarkarEmail author
  • Manisha Sharma
  • Smita Selot
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 77)


This paper proposes an efficient system for color logo recognition. The proposed logo retrieval approach uses self-organizing map (SOM) and relevance feedback based on three types of query improvement policies: new query point, query rewriting, and query development. Feature extraction techniques are implemented for representing the visual features of the images from the data set as well as the query image. For color feature extraction, color histogram, color moments, and color correlogram techniques are used. For texture feature extraction, Gabor wavelet and Haar wavelet are implemented. And for shape feature extraction, Fourier descriptor and circularity features are used. The topological mapping property of the SOM is used to map these database features. This map contains the comparable images arranged closer to each other. The data set consists of about 3000 color logo images. Euclidian distance is used for similarity computation. The proposed approach is able to recognize the logo images with good retrieval efficiency. The results obtained are remarkable after the integration of SOM with relevance feedback technique.


Content-based image retrieval (CBIR) Feature vector Logo Relevance feedback Self-organizing map (SOM) 


  1. 1.
    Wei, C.-H., Li, Y., Chau, W.-Y., Li, C.-T.: Trademark image retrieval using synthetic features for describing global shape and interior structure. Pattern Recogn. 42, 386–394 (2009)CrossRefGoogle Scholar
  2. 2.
    Laaksonen, J., Koskela, M., Laakso, S., Oja, E.: Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval, No. 2–3, pp. 140–152. Springer, Berlin (2001)zbMATHGoogle Scholar
  3. 3.
    Pinjarkar, L., Sharma, M., Mehta, K.: Comparative evaluation of image retrieval algorithms using relevance feedback and it’s applications. Int. J. Comput. Appl. (IJCA) 48(18), 12–16 (2012)Google Scholar
  4. 4.
    Ja-Hwung, S., Huang, W.-J., Yu, P.S., Tseng, V.S.: Efficient relevance feedback for content-based image retrieval by mining user navigation patterns. IEEE Trans. Knowl. Data Eng. 23(3), 360–372 (2011)CrossRefGoogle Scholar
  5. 5.
    Laaksonen, J., Koskela, M., Laakso, S., Oja, E.: PicSOM -content-based image retrieval with self-organizing maps. Pattern Recogn. Lett. 21, 1199–1207 (2000)CrossRefGoogle Scholar
  6. 6.
    Suganthan, P.N.: Shape indexing using self-organizing maps. IEEE Trans. Neural Netw. 13(4), 835–840 (2002)CrossRefGoogle Scholar
  7. 7.
    Pakkanen, J., Iivarinen, J.: Evaluating SOM as an Index in Content-Based Image Retrieval. Helsinki University of Technology Laboratory of Computer and Information Science, Helsinki (2003)zbMATHGoogle Scholar
  8. 8.
    Vesanto, J., Himberg, J., Alhoniemi, E., Parhankangas, J.: Self-organizing map in MATLAB: the SOM Toolbox. In: Proceedings of the MATLAB DSP Conference Nov 16–17, Espoo, Finland, pp. 35–40 (1999)Google Scholar
  9. 9.
    Hussain, M., Eakins, J.P.: Component-based visual clustering using the self-organizing. Neural Netw. 20, 260–273 (2007)CrossRefGoogle Scholar
  10. 10.
    Alnihaud, J.: Content based image retrieval system based on self organizing map, fuzzy color histogram and subtractive fuzzy clustering. Int. Arab J. Inf. Technol. 9(5), 452–458 (2012)Google Scholar
  11. 11.
    Huneiti, A., Daoud, M.: Content-based image retrieval using SOM and DWT. J. Softw. Eng. Appl. 8, 51–61 (2015)CrossRefGoogle Scholar
  12. 12.
    Long, F., Zhang, H., Feng, D.D.: Multimedia information retrieval and management. In: Chapter-1 Fundamentals of Content-Based Image Retrieval, pp. 1–26. Springer, Berlin (2003) Google Scholar
  13. 13.
    Kohonen, T.: Self Organinzing Maps, 2nd edn. Springer, New York (1997)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Shri Shankaracharya Technical CampusBhilaiIndia
  2. 2.Bhilai Institute of TechnologyBhilaiIndia

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