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嵌入式虹膜定位算法 被引量:1

AN IMBEDDED IRIS LOCATION ALGORITHM
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摘要 利用虹膜的几何特征及平面几何的知识,提出了一种支持嵌入式系统的虹膜定位算法。即通过移动两条经过瞳孔且相互垂直的弦来定位虹膜内边缘;并利用巩膜与虹膜的灰度值悬殊这一特点,对图像反相处理来突出巩膜,再确定虹膜外边缘上的六个点,从而定位虹膜外边缘。算法避免了搜索的盲目性,实时性有较大改善,能较好地支持嵌入式系统。 Based on the geometrical characteristic of iris and knowledge of plane geometry, an algorithm for rapid iris location applied in the imbedded system is proposed. The inner edge of the iris is positioned by moving two chords, which are vertical to each other and pass through the pupil ; The image is inverted to make the sclera prominent, by taking the advantage of the great difference of grey value between the sclera and the iris, so that the six points of the outer boundary of the iris are located. Consequently,the outer edge of the iris are figured out. This algorithm reduces the blindness of the search process and has an improvement on real time. So, it can preferably support the imbedded system.
出处 《计算机应用与软件》 CSCD 北大核心 2007年第6期30-32,共3页 Computer Applications and Software
基金 辽宁省科技基金(2004D109)资助
关键词 嵌入式系统 虹膜识别 CANNY算子 最小二乘法 Imbedded system Iris identification Canny template Method of least square
作者简介 马丽红,硕士生,主研领域:图像处理,模式识别.
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参考文献8

  • 1John G Daugman.Biometric personal identification system based on iris analysis.US,patent 5291560.
  • 2John G Daugman.High Confidence Visual Recognition of Persons by a Test of Statistical Independence[J].IEEE Trans Pattern Analysis and Machine Intelligence,1993,15(11):1048-1161.
  • 3Richard P Wilds.Iris Recognition:An Emerging Biometric Technology[J].Proc IEEE,1997,85(9):1348-1363.
  • 4何家峰,廖曙铮,叶虎年,李柱.虹膜定位[J].中国图象图形学报(A辑),2000,5(3):253-255. 被引量:78
  • 5王蕴红,朱勇,谭铁牛.基于虹膜识别的身份鉴别[J].自动化学报,2002,28(1):1-10. 被引量:259
  • 6National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences.CASIA Iris Image Database[OL].http://www.sinobiometrics.com,2003.
  • 7杨文,于力,王宽全,卢光明.虹膜定位的快速算法[J].计算机工程与应用,2004,40(10):82-84. 被引量:15
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二级参考文献9

  • 11,Flom et al. Iris recognition system. US Patent 4641349. 1987.
  • 22,Daugman J. Biometric personal identification system based on iris analysis. U S, Patent 5291560. 1994.
  • 34,Wildes et al. Automated, Non-invasive iris recognition system and method . US, Patent 5572596. 1996.
  • 4John G Daugman.Biometric personal identification system based on iris analysis.US,patent 5291560.
  • 5John G Daugman.High Confidence Visual Recognition of Persons by a Test of Statistical Independence[J].IEEE Trans Pattern Analysis and Machine Intelligence,1993; 15(11):1148~1161.
  • 6Richsrd P Wilds.Iris Recognition:An Emerging Biometric Technology [J].Proc IEEE,1997;85(9):1348~13.
  • 7何家峰,廖曙铮,叶虎年,李柱.虹膜定位[J].中国图象图形学报(A辑),2000,5(3):253-255. 被引量:78
  • 8韩方,陈颖,陆亨立.虹膜定位算法[J].上海大学学报(自然科学版),2001,7(6):501-503. 被引量:16
  • 9王蕴红,朱勇,谭铁牛.基于虹膜识别的身份鉴别[J].自动化学报,2002,28(1):1-10. 被引量:259

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