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A much improved computational performance of visual recognition tasks can be achieved by representing raw input data (low-level) with high-level feature representation. In order to generate the high-level representation, a sparse coding is widely used. However, a major problem in traditional sparse coding is computational performance due to an ℓ0/ℓ1 optimization. Often, this process takes significant...
This paper proposes a method to segment iris area from the closed-up eye image. The method is a model-based method. It approximates pupil boundary and iris boundary using two circles, and approximates eyelids using two parabolas. The proposed method utilizes intensity gradient with local refinement to detect pupil boundary. A new concept of using signal to noise ratio (SNR), a ratio of mean and standard...
The proliferation of mobile computing devices and wireless positioning networks has fostered a growing interest in location-aware systems and devices. Most technologies such as radio frequency identification (RFID), RADAR, etc, use at least three base station (BS) for calculating position of target objects. This paper describes an improvement of the previous OneBS algorithm. The proposed system uses...
This paper proposes a method for detecting and modeling human pupil boundary in closed-up eye images. The proposed method is a model-based approach aiming to detect accurate pupil boundary in iris images. These images inhibit large variations such as different pupil size, shape and intensity background. The proposed method utilizes intensity and gradient information to detect edges of pupil boundary...
This paper proposes a new scheme to generate iris codes based on relative measure of local iris texture. The local characteristic of iris texture is analyzed using 2D Gabor wavelets. Twelve Gabor kernels, four frequencies and three orientations, are constructed and convoluted with an iris image. To inherit relationship of local iris texture among pixels, Gabor magnitude and phase of a reference pixel...
This paper proposes a new and fast method for iris verification. The proposed algorithm is an intensity-based approach using edge information of an iris as its signature. The edge information is detected by four different directional line detectors. Significant edges are then selected using an adaptive thresholding technique, called quotient thresholding. The merit of this thresholding is its capability...
Illumination in an image often needs to be corrected or adjusted for several reasons. Recognition of images, such as those of faces, that are based on image data as patterns depends on having the lighting direction of the query image and that of the database images be aligned. In computational video, acquired images are often texture mapped to blend with computer generated polygonal surfaces. The...
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