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ICAI
2004

Use of Histogram Distances in Iris Authentication

8 years 9 months ago
Use of Histogram Distances in Iris Authentication
Quantitatively establishing the discriminative power of iris biometric data is considered. Multi-level 2D wavelet transform has been widely used for iris verification system. While previous approaches compute only means and variances, we propose using a histogram distance. We also use a methodology to establish a measure of discrimination that is statistically inferable. To establish the inherent distinctness of the classes, i.e., validate individuality, we transform the many class problem into a dichotomy by using a "distance" between two samples of the same person and between those of two different peoples. We demonstrate that using histogram matching results better performances than using only means and variances. Key Words: Iris recognition, Dichotomy model, Histogram, Distance measure, Biometrics
Seung-Seok Choi, Sungsoo Yoon, Sung-Hyuk Cha, Char
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where ICAI
Authors Seung-Seok Choi, Sungsoo Yoon, Sung-Hyuk Cha, Charles C. Tappert
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