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机构地区:[1]沈阳工业大学视觉检测技术研究所,辽宁沈阳110023
出 处:《光电子.激光》2008年第12期1675-1681,共7页Journal of Optoelectronics·Laser
基 金:国家自然科学基金资助项目(60672078;60472088);辽宁省自然科学基金资助项目(20042028)
摘 要:提出了一种新颖的自适应虹膜识别方法。首先,进行虹膜定位和上下眼睑拟合,然后对虹膜图像进行归一化操作,得到512列×64行的矩形虹膜图像,自适应地确定有效虹膜区域;其次,在虹膜有效区域内,利用纹理的方向信息、长度信息、宽度信息、邻域的灰度信息找出所有的虹膜特征点;再次,对特征点进行方向编码,用虹膜代码表示虹膜模式;最后,采用自适应的模式匹配方法对不同的虹膜模式进行分类,给出识别结果。实验证明,该方法可以达到99.472%的识别率,能够满足虹膜识别要求。A novel and adaptive iris recognition method is presented. Firstly,the iris is located and the contour of lower and upper eyelids is fitted,then the iris image is normalized and a 512 columns multiplying 64 rows rectangular iris image is gotten,the effective iris area is obtained adaptively. Secondly, all iris feature points are found by the direction length, width of texture and the neighboring gray in the effective iris area. Thirdly,directional codes are made to feature points and the iris pattern is figured by iris codes. Finally,the different iris patterns are sorted by auto accommodated pattern matching method and the recognition results are achieved. Many experiments show the recognition rates of this method can reach 99. 472% that can meet the demand of iris recognition.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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