With palm-top devices increasingly popular, security for both the data contained in the devices and e-commerce transactions through them becomes an issue. Iris texture is a nature-given password that has advantages over alphanumeric password and other biometric features. Existing iris recognition systems however are all designed for either mainframe or desktop applications. This paper describes an iris recognition algorithm that is compact and simple enough to be implemented on palm-top devices. The algorithm exploits a simple transformation - Radon Transform - to encode iris images. Experimental results on real image data are shown to illustrate how the proposed system performs in comparison with an existing Gabor wavelet coefficient based algorithm. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Chun, C. N., & Chung, R. (2004). Iris recognition for palm-top application. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3072, 426–433. https://doi.org/10.1007/978-3-540-25948-0_59
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