A novel Iris localization algorithm using correlation filtering

机译：一种采用相关滤波的新型虹膜定位算法

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Fast and efficient segmentation of iris from the eye images is a primary requirement for robust database independent iris recognition. In this paper we have presented a new algorithm for computing the inner and outer boundaries of the iris and locating the pupil centre. Pupil-iris boundary computation is based on correlation filtering approach, whereas iris-sclera boundary is determined through one dimensional intensity mapping. The proposed approach is computationally less extensive when compared with the existing algorithms like Hough transform.

机译：从眼睛图像中快速有效地分割虹膜是鲁棒的数据库独立虹膜识别的主要要求。在本文中，我们提出了一种用于计算虹膜的内部和外部边界并定位瞳孔中心的新算法。瞳孔与虹膜的边界计算基于相关滤波方法，而虹膜-巩膜边界则通过一维强度映射确定。与现有算法（如霍夫变换）相比，该方法在计算上不那么广泛。

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《International Conference on Optics and Photonics 2015》|2015年|96542C.1-96542C.6|共6页
会议地点 Kolkata(IN)
作者
Mausumi Pohit; Jitu Sharma;
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作者单位

Applied Physics Department, School of Vocational Studies Applied Sciences, Gautam Buddha University Gautam Buddha Nagar, Greater Noida 201310, India;

Applied Physics Department, School of Vocational Studies Applied Sciences, Gautam Buddha University Gautam Buddha Nagar, Greater Noida 201310, India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Iris segmentation; Biometric recognition; Fourier transform; Correlation filtering;

机译：虹膜分割；生物特征识别；傅里叶变换;相关过滤;

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A novel Iris localization algorithm using correlation filtering

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