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首页> 外文会议>Conference on Image Processing: Algorithms and Systems III; 20040119-20040121; San Jose,CA; US >PUPIL DETECTION IN PHOTO ID
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PUPIL DETECTION IN PHOTO ID

机译：照片ID中的学生检测

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摘要

This paper presents a novel algorithm for locating pupils in a portrait image for ID card application. The proposed algorithm composed of three steps; skin detection, eye detection, and pupil detection. Skin detection for reducing the region of interest employs three modified single Gaussian skin models. In the second step, candidates of horizontal and vertical eye locations are found by utilizing amount of deviation in R channel with an image that is cropped by skin detection. A small block centered at obtained coarse location is then further processed in pupil detection to find a precise pupil location. This step involves Pupil Index that measures the characteristics of pupil. If more than two locations are competing, ratios of Pupil Index and geometry rules are involved to select pupil locations. Experiments show that the algorithm successfully locates pupils. However, more works may need to be done on images that are rotated and/or tilted to a high degree.
机译：本文提出了一种新的算法，用于在ID卡应用的人像图像中定位瞳孔。所提出的算法包括三个步骤；皮肤检测，眼睛检测和瞳孔检测。用于减少目标区域的皮肤检测采用了三种改进的单一高斯皮肤模型。在第二步中，通过利用R通道中的偏差量和通过皮肤检测裁剪的图像来找到水平和垂直眼睛位置的候选对象。然后在瞳孔检测中对以获取的粗略位置为中心的小块进行进一步处理，以找到精确的瞳孔位置。此步骤涉及测量学生特征的学生指数。如果有两个以上的位置竞争，则将使用瞳孔指数和几何规则的比率来选择瞳孔位置。实验表明，该算法能够成功定位瞳孔。但是，可能需要对高度旋转和/或倾斜的图像进行更多的工作。

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