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Iris masks play an important role in iris recognition. They indicate which part of the iris texture map is useful and which part is occluded or contaminated by noisy image artifacts such as eyelashes, eyelids, eyeglasses frames, and specular reflections. The accuracy of the iris mask is extremely important. The performance of the iris recognition system(More)
Traditional linear Fukunaga-Koontz transform (FKT) (F. Fukunaga and W. Koontz, 1970) is a powerful discriminative subspaces building approach. Previous work has successfully extended FKT to be able to deal with small-sample-size. In this paper, we extend traditional linear FKT to enable it to work in multi-class problem and also in higher dimensional(More)
To explore temporal dependencies and noise reduction in fMRI classification problem, we have tested two signal processing techniques, fourier tranform and wavelet transform, for feature creation. Gaussian Naive Bayes is applied on transformed data. We discussed comparison between fourier and wavelet transform, and perform various approaches, including(More)
Current state-of-the-art approach for performing face sketch recognition transforms all the test face images into sketches, and then performs recognition on sketch domain using the sketch composite. In our approach we propose the opposite; which has advantages in a real-time system; we propose to generate a realistic face image from the composite sketch(More)
In this paper, we examine a novel image-filling algorithm to fill the occluded and partial regions of the iris. In iris recognition, these occlusions naturally appear due to eye-lids being partially closed, eye movements and eye-lashes. Additionally, specular reflections arising from the iris-camera illuminator are present and produce occlusion artifacts on(More)
Traditionally, iris recognition is always about analyzing and extracting features from iris texture. We proposed to investigate regions around eyelashes and extract useful information which helps us to perform ethnic classification. We propose an algorithm which is easy to implement and effective. First, we locate eyelash region by using ASM to model eyelid(More)
How to estimate artifacts on an iris image in polar domain is an important question for any iris recognition system which pursues high recognition rate as its goal. In literature, there are many different existing algorithm that estimate iris occlusion in either Cartesian or polar coordinate. In this paper, our goal is not to propose another new method to(More)