Iris Texture Description Using Ordinal Co-occurrence Matrix Features

Author:

Chacón-Cabrera Yasser,Zhang Man,Garea-Llano Eduardo,Sun Zhenan

Publisher

Springer International Publishing

Reference15 articles.

1. Intelligent Systems Reference Library;RD Labati,2012

2. Chou, C.T., Shih, S.W., Chen, W.S., Cheng, V., Chen, D.Y.: Non-orthogonal view iris recognition system. IEEE Transactions on Circuits and Systems for Video Technology 20(3), 417–430 (2010)

3. Daugman, J.G.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148–1161 (1993)

4. Masek, L.: Recognition of human iris patterns for biometric identification. Master thesis, University of Western Australia (2003)

5. He, X., Shi, P.: Extraction of complex wavelet features for iris recognition. In: 19th International Conference on Pattern Recognition, ICPR 2008, pp. 1–4. IEEE (2008)

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1. Advancements in Iris Recognition: WAHET-CNN Framework for Accurate Segmentation and Pattern Classification;EAI Endorsed Transactions on Context-aware Systems and Applications;2023-08-14

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