[1]宋辉,王明威.基于双远心镜头的虹膜图像采集方法[J].计算机技术与发展,2016,26(08):65-68.
 SONG Hui,WANG Ming-wei. Iris Image Acquisition Method Based on Bilateral Telecentric Lens[J].,2016,26(08):65-68.
点击复制

基于双远心镜头的虹膜图像采集方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年08期
页码:
65-68
栏目:
智能、算法、系统工程
出版日期:
2016-08-10

文章信息/Info

Title:
 Iris Image Acquisition Method Based on Bilateral Telecentric Lens
文章编号:
1673-629X(2016)08-0065-04
作者:
 宋辉王明威
 沈阳工业大学 信息科学与工程学院
Author(s):
 SONG HuiWANG Ming-wei
关键词:
 虹膜识别图像拼接完整性双远心镜头
Keywords:
 iris recognitionimage stitchingintegritybilateral telecentric lens
分类号:
TP301
文献标志码:
A
摘要:
 信息完整的虹膜图像可以提高不同虹膜间的差异性,有助于提升识别系统的准确性,也有利于分析虹膜纹理的细节特征。但是由于设备、环境和人为等因素的影响,采集到的虹膜图像不可避免地会出现光斑,这些光斑会造成部分虹膜信息缺失。因此,高质量的虹膜图像对整个虹膜识别系统至关重要。文中研究了完整的虹膜图像采集方法,利用双远心镜头其特殊的光学结构和较宽的景深,消除视差和畸变等由镜头带来的影响,并结合图像拼接、融合的方法得到信息完整的虹膜图像。最后将经过该系统得到的虹膜图像与未进行拼接的虹膜图像进行识别匹配的比较实验。结果表明,文中方法得到的虹膜图像有较高的匹配率,并且纹理丰富、信息完整,可以提升识别系统的有效率。
Abstract:
 The complete information iris image can improve the otherness between different iris,which is helpful to improve the accuracy of the recognition system,and also to analyze the detail feature of iris texture. But,in virtue of the equipment,environment,man-made and other factors,the acquisition of the iris image will appear some spots inevitably which will cause the missing part of the iris informa-tion. Therefore,high quality iris image is very important to the whole iris recognition system. In this paper,the complete iris image acqui-sition method is studied. It uses the special optical structure and the wide depth of field of the bilateral telecentric lens,elimination of the influence of parallax and distortion caused by the lens,and applies the method of image stitching and anastomosing to get the complete iris image. Finally,the comparison test is carried out on the recognition and matching of the iris image stitching and one no stitching. Experi-mental results indicate that the matching rate of the iris image obtained by the method is high,with rich texture and complete information, and the efficiency of the recognition system is also promoted.

相似文献/References:

[1]许威,权芳芳,姜媛媛,等.改进的算法在虹膜识别中的应用研究[J].计算机技术与发展,2013,(03):34.
 XU Wei,QUAN Fang-fang,JIANG Yuan-yuan,et al.Research on Application of Iris Recognition Based on Improved Algorithm[J].,2013,(08):34.
[2]赵静.基于二维小波变换的圆形算子虹膜定位算法[J].计算机技术与发展,2013,(04):51.
 ZHAO Jing.Circular Operator Iris Localization Algorithm Based on Two-dimensional Wavelet Transform[J].,2013,(08):51.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
 ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(08):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
 LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(08):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
 HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(08):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
 HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(08):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
 LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(08):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
 WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(08):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
 LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(08):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
 SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(08):38.
[11]姚明海[],王娜[],李劲松[]. 一种新的基于特征选择的虹膜识别方法[J].计算机技术与发展,2014,24(12):96.
 YAO Ming-hai[],WANG Na[],LI Jin-song[]. A Novel Iris Recognition Method Based on Feature Selection[J].,2014,24(08):96.

更新日期/Last Update: 2016-09-29