【24h】

A Rapid Iris Location Algorithm Based on embedded

机译:基于嵌入式的虹膜快速定位算法

获取原文

摘要

A fast iris location method supported embedded system is presented in this paper for eliminating the effect of noise such as the thick eyelashes,eyelid in the iris location mcmoa and improve the performance of the algorithm. The collected iris image is enhanced and denoised. Then we can achieve the location of iris inside edge according to projection method and the calculus algorithm based on round match detection. The location of outer edge includes three steps. The first step is to remove the eyelashes by dual-threshold method. Secondly the facula is removed through corrosion method. Finally the accurate location can be obtained based on the geometry of circular and least-squares method. The experiments results show that the proposed method can overcome all sorts of interference,obtain the accurate location fast,reduce the blindness of the traditional location algorithm and is a good support for embed system.
机译:本文提出了一种快速的虹膜定位方法支持的嵌入式系统,以消除噪声的影响,如浓密的睫毛,虹膜位置的眼睑位置的眼睑,并改善算法的性能。所收集的虹膜图像被增强和去噪。然后我们可以根据投影方法和基于圆形匹配检测的演算算法来实现虹膜在边缘内的定位。外边缘的位置包括三个步骤。第一步是通过双阈值方法去除睫毛。其次,通过腐蚀方法去除光斑。最后,可以根据圆形和最小二乘法的几何形状获得准确的位置。实验结果表明,该方法克服了各种干扰,能够快速准确地定位,减少了传统定位算法的盲目性,为嵌入式系统提供了良好的支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号