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The popularity of iris biometric has grown considerably over the past 2-3 years. It has resulted in the development of a large number of new iris encoding and processing algorithms. Since there are no publicly available large scale and even medium size databases, neither of the newly designed algorithms has undergone extensive testing. The designers claim(More)
Iris biometric is one of the most reliable biometrics with respect to performance. However, this reliability is a function of the ideality of the data. One of the most important steps in processing nonideal data is reliable and precise segmentation of the iris pattern from remaining background. In this paper, a segmentation methodology that aims at(More)
Short Wave InfraRed (SWIR) is an emerging imaging modality in surveillance applications. It is able to capture clear long range images of a subject in harsh atmospheric conditions and at night time. However, matching SWIR images against a gallery of color images is a very challenging task. The photometric properties of images in these two spectral bands are(More)
We consider the estimation of an unknown arbitrary 2D object shape from sparse noisy samples of its Fourier transform. The estimate of the closed boundary curve is parametrized by normalized Fourier descriptors (FDs). We use Rissanen's MDL criterion to regularize this ill-posed non-linear inverse problem and determine an optimum tradeoff between(More)
The popularity of the iris biometric has grown considerably over the past two to three years. Most research has been focused on the development of new iris processing and recognition algorithms for frontal view iris images. However, a few challenging directions in iris research have been identified, including processing of a nonideal iris and iris at a(More)
Practical iris-based identification systems are easily accessible for data collection at the matching score level. In a typical setting, a video camera is used to collect a single frontal view image of a good quality. The image is then preprocessed, encoded, and compared with all entries in the biometric database resulting in a single highest matching(More)
In this paper, we describe a face video database, UTK-LRHM, acquired from long distances and with high magnifications. Both indoor and outdoor sequences are collected under uncontrolled surveillance conditions. To our knowledge, it is the first database to provide face images from long distances (indoor: 10–16 m and outdoor: 50–300 m). The corresponding(More)