Abstract
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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Chun, CN., Chung, R. (2004). Iris Recognition for Palm-Top Application. In: Zhang, D., Jain, A.K. (eds) Biometric Authentication. ICBA 2004. Lecture Notes in Computer Science, vol 3072. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25948-0_59
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DOI: https://doi.org/10.1007/978-3-540-25948-0_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
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