Eyelid Detection in Localized Iris Images

A. Basit, M. Javed, M. A. Anjum
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引用次数: 2

Abstract

Localization of human eye (iris) in a non invasive fashion with accuracy has great significance. Iris localization is the back bone of iris recognition systems. In this paper a novel method to localize the eyelid is presented. Iris is localized by applying the texture analysis approach. To find the upper eyelid, a rectangular average filter (size two by five) is applied to the segment above iris center and between left and right boundaries of iris. It is followed by sobel horizontal filter. Points of pupil and iris boundaries are removed and a parabola which best fit among the remaining points. This parabola is the required upper eyelid. Lower eyelid is obtained using the same method. Experimental results show that proposed method is very effective
局部虹膜图像中的眼睑检测
对人眼(虹膜)进行无创、准确的定位具有重要意义。虹膜定位是虹膜识别系统的核心。本文提出了一种新的眼睑定位方法。利用纹理分析方法对虹膜进行定位。为了找到上眼睑,对虹膜中心上方和虹膜左右边界之间的部分使用矩形平均滤波器(大小为2 × 5)。其次是索贝尔水平过滤器。去除瞳孔和虹膜边界的点,并在剩余点之间画出最适合的抛物线。这条抛物线是需要的上眼睑。下眼睑用同样的方法获得。实验结果表明,该方法是非常有效的
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