[1]王晟全,李 昂,黎相龙.基于微积分法的虹膜边缘检测技术的研究[J].计算机技术与发展,2020,30(01):60-64.[doi:10. 3969 / j. issn. 1673-629X. 2020. 01. 011]
　WANG Sheng-quan,LI Ang,LI Xiang-long.Research on Iris Edge Detection Technology Based on Daugman Algorithm[J].Computer Technology and Development,2020,30(01):60-64.[doi:10. 3969 / j. issn. 1673-629X. 2020. 01. 011]
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基于微积分法的虹膜边缘检测技术的研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年01期
页码:
60-64
栏目:
智能、算法、系统工程
出版日期:
2020-01-10

文章信息/Info

Title:
Research on Iris Edge Detection Technology Based on Daugman Algorithm
文章编号:
1673-629X(2020)01-0060-05
作者:
王晟全1 ; 李 昂1; 2 ; 黎相龙3
1. 南京理工大学紫金学院 电子工程与光电技术学院,江苏 南京 210023; 2. 南京邮电大学 通信学院,江苏 南京 210003; 3. 齐鲁师范学院,山东 济南 250200
Author(s):
WANG Sheng-quan 1 ; LI Ang 1; 2 ; LI Xiang-long 3
1. Institute of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science and Technology Zijin College,Nanjing 210023,China; 2. School of Telecommunications &Information Engineering,Nanjing University of Posts and Telecommunications，Nanjing 210003,China; 3. Qilu Normal University,Jinan 250200,China
关键词:
虹膜识别; 霍夫算法; 微积分算法; 边缘检测
Keywords:
iris recognition; Hough algorithm; Daugman algorithm; edge detection
分类号:
TP391.41
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 01. 011
摘要:
当前社会,人们对于身份安全越来越重视,尤其是在一些高度保密或者涉及个人隐私方面的场合,一对一的身份识别显得尤为重要。 而虹膜识别恰好具备高效、不易被仿造等特点,使其作为一项身份识别技术被推向了热潮。 图像边缘检测一直是图像处理中的经典研究课题,也是至今仍没有得到圆满解决的一类问题。 因此,探讨获取图像的边缘和轮廓的问题,是图像工程师们的重中之重。 而虹膜识别技术中的边缘检测也如上所说是重要的一项技术,虹膜的内外边界可以近似地用圆来拟合。 内圆表示虹膜与瞳孔的边界,外圆表示虹膜与巩膜的边界,但是这两个圆并不是同心圆。 而如何更好、更准确地且不受外界干扰以及图像模糊情况下仍能较为有效地进行内外圆的边缘检测是研究的重点。 文中就微积分法用于虹膜边缘检测方面展开了研究。
Abstract:
In the current society,people pay more and more attention to identity security,especially in the case of some highly confidential or personal privacy,one-to-one identification is particularly important. Iris recognition is characterized by high efficiency and not easy to be counterfeited,making it has been pushed into the craze as an identification technology. Image edge detection has always been a classic research topic in image processing,and it is also a kind of problem that has not been satisfactorily solved. Therefore,it is a top priority for image engineers to explore the problem of obtaining the edges and contours of images. Edge detection in iris recognition technology is also an important technique as described above,and the inner and outer boundaries of the iris can be approximated by a circle. The innercircle represents the boundary between the iris and the pupil,and the outer circle represents the boundary between the iris and the sclera，but the two circles are not concentric. How to detect the edge of inner and outer circles better,more accurately and effectively without external interference and image blurring is the focus of the research. The study on application of Daugman algorithm in iris edge detection is carried out.

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].Computer Technology and Development,2013,(01):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].Computer Technology and Development,2013,(01):51.
[3]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].Computer Technology and Development,2014,24(01):96.
[4]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.
　SONG Hui,WANG Ming-wei. Iris Image Acquisition Method Based on Bilateral Telecentric Lens[J].Computer Technology and Development,2016,26(01):65.

更新日期/Last Update: 2020-01-10