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Commercial iris recognition systems usually acquire images of the eye in 850-nm band of the electromagnetic spectrum. In this work, the heavily pigmented iris images are captured at 12 wavelengths, from 420 to 940 nm. The purpose is to find the most suitable wavelength band for the heavily pigmented iris recognition. A multispectral acquisition system is(More)
In this paper, an iris feature-based PKI key generation is proposed. Contributions include a general approach for distinguishable iris feature generation and a PKI key generation mechanism. The proposed method differs from prior work of using pseudo random number to generate cryptographic keys. Thereby, a longer and more distinguishable bitstream can be(More)
This work explores the possibility of clustering spectral wavelengths based on the maximum dissimilarity of iris textures. The eventual goal is to determine how many bands of spectral wavelengths will be enough for iris multispectral fusion and to find these bands that will provide higher performance of iris multispectral recognition. A multispectral(More)
One of the major challenges for accurate iris recognition is to capture a high-quality image of the iris since current iris recognition systems' performance is greatly affected by poor-quality imaging. This paper discusses the methods of capturing iris images with accurate focus, and based on the above methods, an extended depth-of-field iris image capture(More)
This paper presents a new reconstruction algorithm of iris image with great depth of field. First, the focus issue in image capture process is proposed, and characteristic of multi-focus iris image is discussed, which proves the feasibility of reconstruction of iris image with great depth of field based on multi-focus fusion. The proposed method uses(More)
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