Abstract
Paper is related to biometrics image compression (finger print and iris images) and refers to the earlier works related to the use of the interferometry images in non touch measurement techniques. The finger prints fringes have similar periodic nature similar to interfered waves, thus we applied a special kind of base functions to perform compression of exemplary images. The second stage of the paper deals with the iris decomposition i.e. a hybrid of Canny Edge detector stage and a Circular Hough Transform to establish iris boundaries and data encryption-compression by Gabor wavelets functions. To ensure correctness of the investigations — comparison to real criminals fingerprint database — searching and recognition case — has been tested. Eventually the comparison of iris templates on exemplary human eye datasets has been presented too.
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References
Gomolka Z, Kwiatkowski B, Kedzior Z (2003) Improvement of image processing by using neural networks. Mediterranean Conference on Modelling and Simulation, Reggio Calabria-Italy, Full paper CD no.193
Kil D, Shin F.B, (1996) Pattern Recognition and Prediction with Applications to Signal Characterization. American Institute of Physics
Hsieh J, Liao H.M, Ko M, Fan K (1995) Wavelet-Based Shape from Shading. Graphical Models and Image Processing, vol. 57, No. 4: 343–362
Bialasewicz J.T (2000) Wavelets and approximations. WNT Warsaw
Gomolka Z, Kwater T, Twarog B, Pekala R, Bartman J, Kwiatkowski B (2006) Finger print compression with the use of wavelets. VII-th Conference on ”Soft Computing”, Zakopane
Daugman J (2002) Gabor wavelets and statistical pattern recognition. The Handbook of Brain Theory and Neural Networks, 2nd ed., MIT Press: 457–463
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Gomolka, Z., Lewandowski, T. (2007). The Biometric Signals Processing. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_80
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DOI: https://doi.org/10.1007/978-3-540-75175-5_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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