江苏省科技期刊可视化阅读平台

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江苏科技信息 ›› 2019, Vol. 36 ›› Issue (3): 54-56.doi: 10.1004-7530/2019-36-3-54

• 应用技术 • 上一篇    下一篇

基于虹膜角点密度和瞳孔大小的健康检测系统设计与分析

蔡昂,刘晓敏   

  1. 佳木斯大学 信息电子技术学院,黑龙江 佳木斯 154007
  • 出版日期:2019-01-30 发布日期:2019-07-09
  • 通讯作者: 刘晓敏
  • 作者简介:蔡昂（1995— ）,男,内蒙古赤峰人,本科生;研究方向：图像处理,模式识别。
  • 基金资助:
    黑龙江省大学生创新创业项目(201610222066);黑龙江省青年科学基金(QC2015072)

Design and analysis of health detection system based on iris corner density and pupil size

Ang Cai,Xiaomin Liu   

  1. School of Information Electronics Technology, Jiamusi University, Jiamusi 154007, China
  • Online:2019-01-30 Published:2019-07-09
  • Contact: Xiaomin Liu

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摘要：

虹膜诊断是人类健康检测的一个重要技术。文章提出根据图像中任意小区域的角点个数粗定位瞳孔,使用Hough变换确定内外轮廓,再根据虹膜角点密度和瞳孔的大小确定健康情况。实验结果表明,该系统具有很好的性能。

关键词: 虹膜内外轮廓检测, 虹膜密度, 瞳孔大小, Canny边缘检测, Hough变换, 角点检测

Abstract:

Iris diagnosis is an important technique for human health detection. Based on the number of corner points in any small area of the image, the pupil is located roughly; the inner and outer contour is determined by Hough transform; finally, the health condition is determined according to the iris corner density and the size of the pupil. The experimental results show that the system has good performance.

Key words: iris inner and outer contour detection, iris density, pupil size, Canny edge detection, Hough transform, corner detection

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