Abstract
This paper proposes an iris pattern recognition algorithm as one of biometric techniques applied to identify a person using his/her physiological characteristics. Since the iris pattern of human eye has an unique and invariant texture, we can use it as a biometric key. First, we obtain the feature vector from the fuzzy LDA after performing 2D Gabor wavelet transform. And then, we compute the similarity measure based on the correlation. Here, since we use four matching values obtained from four different directional Gabor wavelets and select the maximum value among them, it is possible to reduce the recognition error. To show the usefulness of the proposed algorithm, we applied it to an iris database consisting of 300 iris patterns extracted from 50 subjects and finally got more higher than 90% recognition rate.
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© 2005 Springer-Verlag Berlin Heidelberg
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Go, HJ., Kwak, KC., Kwon, MJ., Chun, MG. (2005). Iris Pattern Recognition Using Fuzzy LDA Method. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_48
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DOI: https://doi.org/10.1007/11552451_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
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