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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Coding of fingerprint images using binary subband decomposition and vector quantization

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      Author
      Gerek, Ömer N.
      Çetin, A. Enis
      Date
      1998-01
      Source Title
      Proceedings of SPIE - The International Society for Optical Engineering
      Print ISSN
      0277-786X
      Publisher
      SPIE
      Pages
      1072 - 1079
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      In this paper, compression of binary digital fingerprint images is considered. High compression ratios for fingerprint images is essential for handling huge amount of images in databases. In our method, the fingerprint image is first processed by a binary nonlinear subband decomposition filter bank and the resulting subimages are coded using vector quantizers designed for quantizing binary images. It is observed that the discriminating properties of the fingerprint, images are preserved at very low bit rates. Simulation results are presented.
      Keywords
      Binary vector quantization
      Fingerprint image compression
      Algorithms
      Computer simulation
      Database systems
      Decomposition
      Optical filters
      Vector quantization
      Binary subband decomposition
      Image coding
      Permalink
      http://hdl.handle.net/11693/27666
      Published Version (Please cite this version)
      http://dx.doi.org/10.1117/12.298317
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      • Department of Electrical and Electronics Engineering 3524
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