Automatic extraction of eye field from a gray intensity image using intensity filtering and hybrid projection function

M. Montazeri, H. Nezamabadi-pour
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引用次数: 14

Abstract

Eye detection has important role in Biometric identification and has known as one of the methods for person identification. In the recent years, many efforts have done for detecting eye automatically and with different image conditions. This paper proposes a method which can automatically detect eye in extensive range of images with different conditions. In the proposed method, region of face is detected by hybrid projection function and morphological operations, and then to identify window of eye, vertical edge dominance map is used. To detect center of pupil, two elliptical masks on eye image is applied. This method has implemented on JAFFE database and compared with 3 well-known methods. The accuracy of 99.53% on this database confirms efficiency of the proposed method.
利用灰度滤波和混合投影函数从灰度图像中自动提取视场
眼睛检测在生物特征识别中具有重要的作用,已成为人类身份识别的方法之一。近年来,针对不同图像条件下的人眼自动检测进行了大量的研究。本文提出了一种能在大范围不同条件下自动检测眼睛的方法。该方法首先利用混合投影函数和形态学运算对人脸区域进行检测,然后利用垂直边缘优势图对眼睛窗口进行识别。为了检测瞳孔中心,在眼睛图像上应用了两个椭圆掩模。该方法在JAFFE数据库上实现,并与3种知名方法进行了比较。在该数据库上的准确率达到99.53%,证实了该方法的有效性。
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