Abstract
JPEG XR is considered as a lossy sample data compression scheme in the context of iris recognition techniques. It is shown that apart from low-bitrate scenarios, JPEG XR is competitive to the current standard JPEG2000 while exhibiting significantly lower computational demands.
This work has been partially supported by the Austrian Science Fund, project no. L554-N15.
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Horvath, K., Stögner, H., Uhl, A. (2011). Effects of JPEG XR Compression Settings on Iris Recognition Systems. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23678-5_7
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DOI: https://doi.org/10.1007/978-3-642-23678-5_7
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