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Iris capture - based positioning system

Author: ZongRuiShan
Tutor: TianQiChuan
School: Taiyuan University of Science and Technology
Course: Circuits and Systems
Keywords: Iris Recognition Iris quality assessment The row gradient of extreme value Iris Location
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 36
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Abstract


With the development of science and technology, the iris recognition technology as an emerging biometric identification technology, social security, financial security, aviation security, showed great superiority. The entire iris recognition system, the iris image quality assessment is a critical step, the image of a direct impact on the accuracy of the results of the subsequent recognition. Iris region segmentation is an important part of the iris recognition, the the iris localization time required would account for about half of the entire recognition process. Therefore, iris positioning accuracy and speed of the algorithm directly affect the recognition rate and the operating efficiency of the entire iris recognition system. In this paper, on the basis of existing iris quality assessment algorithm and iris localization algorithm for iris acquisition system, design a set of iris acquisition Positioning System, the main research work in the following areas: 1. Assessment for iris quality The algorithm is not perfect and mature, and put forward a comprehensive iris quality assessment algorithm. The algorithm consists of four aspects: the distribution of gray values ??to determine the brightness level of the image; positioning pupil light source point test the degree of deviation of the iris image; take advantage of the clarity of the iris region bounded variation principle; detection and fitting the eyelid border strike effective iris area proportion. 2 for the binarization threshold selection difficult problem proposed extraction method a line gradient extremal based edge. The method can accurately detect a point on the iris inner and outer boundaries, but do not have to consider the choice of thresholds, to effectively improve the effectiveness of the edge points extracted. Large amount of computation for iris localization algorithm, the positioning time long problem, propose a fast iris localization method based on the region of interest, the method to achieve fast positioning of the inner and outer boundaries of the iris to effectively reduce iris location time. 4. Designed set based the OpenCV iris acquisition Positioning System to achieve real-time evaluation of the acquisition positioning of the iris and iris images. Iris image quality through the system can help the next step of feature extraction and pattern recognition. Above algorithms in Matlab platform to pass the test to prove the correctness and validity of the algorithm. Acquisition Positioning System VS2008 platform, image evaluation and positioning to good effect.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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