• DocumentCode
    3687267
  • Title

    Development of biometric security system using CBIR and EER

  • Author

    Aravind G; Andan H M;Tripty Singh;Glence Joseph

  • Author_Institution
    Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    884
  • Lastpage
    888
  • Abstract
    The paper discusses about the content based image retrieval systems for biometric security. As image databases are growing at a rapid rate, demand for efficient and effective tools for retrieval of images increased significantly. Among them, content-based image retrieval systems (CBIR) have become very popular for browsing, searching and retrieving images from a large database of digital images. Biometric security methods have been gaining importance increasingly in the recent years due to advances in biometrics technology and its reliability and efficiency in real world applications. Biometric security methods take into account human´s unique physical or behavioural characteristics that help to identify them. The proposed approach is based on three main features of an image: colour, texture and shape which can be incorporated into biometric security for effective security systems. The inclusion of fuzzy heuristics presents a increased accuracy on image retrieval than the existing approaches.
  • Keywords
    "MATLAB","Image color analysis","Biomedical imaging","Reliability","Security","Visualization","Manuals"
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSP.2015.7322622
  • Filename
    7322622