Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 251-255, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W4-251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
10 May 2017
DEPENDENCY OF OPTIMAL PARAMETERS OF THE IRIS TEMPLATE ON IMAGE QUALITY AND BORDER DETECTION ERROR
I. A. Matveev1,2 and V. P. Novik2 1Dorodnicyn Computing Centre FRC CSC RAS, Vavilova, 40, Moscow, 119333, Russia
2Iritech Inc. Moscow RnD office, B.Tatarskaya, 21, Moscow, 115184, Russia
Keywords: Iris Recognition, Gabor Wavelet, Biometric Template Abstract. Generation of a template containing spatial-frequency features of iris is an important stage of identification. The template is obtained by a wavelet transform in an image region specified by iris borders. One of the main characteristics of the identification system is the value of recognition error, equal error rate (EER) is used as criterion here. The optimal values (in sense of minimizing the EER) of wavelet transform parameters depend on many factors: image quality, sharpness, size of characteristic objects, etc. It is hard to isolate these factors and their influences. The work presents an attempt to study an influence of following factors to EER: iris segmentation precision, defocus level, noise level. Several public domain iris image databases were involved in experiments. The images were subjected to modelled distortions of said types. The dependencies of wavelet parameter and EER values from the distortion levels were build. It is observed that the increase of the segmentation error and image noise leads to the increase of the optimal wavelength of the wavelets, whereas the increase of defocus level leads to decreasing of this value.
Conference paper (PDF, 708 KB)


Citation: Matveev, I. A. and Novik, V. P.: DEPENDENCY OF OPTIMAL PARAMETERS OF THE IRIS TEMPLATE ON IMAGE QUALITY AND BORDER DETECTION ERROR, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W4, 251-255, https://doi.org/10.5194/isprs-archives-XLII-2-W4-251-2017, 2017.

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