Fuzzy Clustering of Image Trademark Database and Pre-processing Using Adaptive Filter and Karhunen-Loève Transform

  • Akriti Nigam
  • Ajay Indoria
  • R. C. Tripathi
Part of the Communications in Computer and Information Science book series (CCIS, volume 276)


In this paper an efficient preprocessing module has been described which focuses on building a trademark database that can be used for developing a trademark retrieval system. The preprocessing module focuses on noise removal from the trademark images using an adaptive filtering technique using Wiener filters, followed by Karhunen-Loève Transform that makes the trademark search process rotation invariant by rotating the object along positive y direction. Since the registered trademarks are huge in number and will increase invariantly in the future it will be strenuous for the search system to search for similarity in such huge database. Intention is to reduce the search space hence Fuzzy Clustering has been applied.


Noise removal Weiner filter Hotelling transform Karhunen- Loève transform Fuzzy Clustering 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Akriti Nigam
    • 1
  • Ajay Indoria
    • 1
  • R. C. Tripathi
    • 1
  1. 1.Indian Institute of Information TechnologyAllahabadIndia

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