Abstract
At present, the need for a precise biometric identification system that provides reliable identification and individual verification has rapidly increased. Biometric recognition system based on iris is a reliable human authentication in biometric technology. This paper proposed a new iris system using on lifting wavelet transform to recognize persons using low-quality iris images. At first, the iris area is localized. Then, it converted to the rectangular area. For discrimination purpose, a set of features are determined from the lifting wavelet subbands, where the iris area is analyzed to three levels. Also, the new method depends on using quantizing the two subbands (LH3 and HL3) and the average values for the two high-pass filters areas (HH1, HH2) to build the iris code. CASIA V1 dataset of iris images is used to measure the performance of proposed method. The test results indicated that the new method gives good identification rates (i.e., 98.46%) and verification rates (i.e., 100%) for CASIA V1 dataset.
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Mohammed, N.F., Ali, S.A., Jawad, M.J. (2020). Iris Recognition System Based on Lifting Wavelet. In: Mallick, P., Balas, V., Bhoi, A., Chae, GS. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 1040. Springer, Singapore. https://doi.org/10.1007/978-981-15-1451-7_27
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DOI: https://doi.org/10.1007/978-981-15-1451-7_27
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-1450-0
Online ISBN: 978-981-15-1451-7
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