Abstract
The impact of using JPEG2000 region of interest coding on the matching accuracy of iris recognition systems is investigated. In particular, we compare the matching scores as obtained by a concrete recognition system when using JPEG2000 compression of rectilinear iris images with and without region of interest coding enabled. The region of interest is restricted to the iris texture area plus the pupil region. It turns out that average matching scores can be improved and that the number of false negative matches is significantly decreased using region of interest coding as compared to plain JPEG2000 compression. © Springer-Verlag Berlin Heidelberg 2009.
Cite
CITATION STYLE
Hämmerle-Uhl, J., Prähauser, C., Starzacher, T., & Uhl, A. (2009). Improving compressed iris recognition accuracy using JPEG2000 rol coding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 1102–1111). Springer Verlag. https://doi.org/10.1007/978-3-642-01793-3_111
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