Abstract
This paper proposes a new method for iris recognition using a multi-matching system based on a simplified deformable model of the human iris. The method defines iris feature points and forms the feature space based on a wavelet transform. In a coarse-fine manner the existence of a simplified deformable iris model is judged and its parameters are determined. By means of such multi-matching system, the task of iris recognition is accomplished. This process can preserve the deformation between two compared iris images and decrease the computation time with improving the recognition precision. The experimental results indicate the validity of this method.
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© 2004 Springer-Verlag Berlin Heidelberg
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Ming, X., Xu, T., Wang, Z. (2004). Using Multi-matching System Based on a Simplified Deformable Model of the Human Iris for Iris Recognition. 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_60
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DOI: https://doi.org/10.1007/978-3-540-25948-0_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22146-3
Online ISBN: 978-3-540-25948-0
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