Diffractive optical elements (DOEs), with their thin profile and unique dispersion properties, have been studied and
utilized in a number of optical systems, often yielding smaller and lighter systems. Despite the interest in and study of
DOEs, the application of DOEs has been limited to narrow spectral bands. This is due to DOEs depths, which are
optimized for optical path differences of only a single wavelength, consequently leading to rapid decline in efficiency as
the working wavelength shifts away from the design wavelength. Various broadband DOE design methodologies have
recently been developed that improve spectral diffraction efficiency and expand the working bandwidth of diffractive
elements. Two such extended bandwidth diffractive designs have been modeled and fabricated. The diffraction
efficiency test result for one broadband DOE design is presented.
Iris recognition utilizes distinct patterns found in the human iris to perform identification. Image acquisition is a critical first step toward successful operation of iris recognition systems. However, the quality of iris images required by standard iris recognition algorithms puts stringent constraints on the imaging systems, which results in a constrained capture volume. We have incorporated adaptive optical elements to expand the capture volume of a 3-m stand-off iris recognition system.
Iris recognition utilizes distinct patterns found in the human iris to perform identification. Image acquisition is a critical
first step towards successful operation of iris recognition systems. However, the quality of iris images required by
standard iris recognition algorithms puts hard constraints on the imaging optical systems which have resulted in
demonstrated systems to date requiring a relatively short subject stand-off distance. In this paper, we study long-range
iris recognition at distances as large as 200 meters, and determine conditions the imaging system must satisfy for
identification at longer stand-off distances.
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