Abstract
In this work, the black iris of East Asians is captured at 12 wavelengths, from 420 to 940 nm. The purpose is (1) to find a band of the electromagnetic spectrum, in which more texture information can be extracted from the iris of East Asians, and (2) to determine how many bands of spectral wavelengths will be enough for black-based iris multispectral fusion and find these bands. In section I, the improved convolution matrix and spectrum energy are combined to measure the quality of iris image, and the improved 2-D Gabor wavelet and 1-D Log-Gabor wavelet are combined to evaluate the iris recognition accuracy. The experiments suggest that 700 nm is the most suitable wavelength for black iris recognition. In section II, using the agglomerative clustering based on an improved multi-group two-dimensional principal component analysis ((2D)<sup>2</sup>PCA), we determine that 3 clusters are enough to represent the 10 feature bands of spectral wavelengths from 545 to 940 nm. This research represents the first attempt in the literature to investigate the iris of East Asians in a multispectral analysis, answered the fundamental questions about multispectral iris recognition of East Asians, and provided a theoretical basis for iris multispectral fusion.
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