Segmentation and labeling of face images for electronic documents
Segmentation and labeling of face images for electronic documents
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DOI：
10.1016/j.eswa.2011.11.027
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发表时间：
2012-04
期刊：
影响因子：
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通讯作者：
M. Subašić;Sven Lončarić;A. Hedi
中科院分区：
文献类型：
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作者：
M. Subašić;Sven Lončarić;A. Hedi
人脸图像必须通过几个质量测试才能被包含在电子身份证文件中，这就需要对人脸图像进行分割和标记。这类问题的复杂程度取决于场景的复杂程度，但通常对场景没有限制。我们开发的程序将人脸图像分割为五个区域：皮肤、头发、肩膀、背景和填充边框。该方法包括两个主要步骤：过分割和标注。在第一步中，图像被分割成均匀区域，而在第二步中，对均匀区域进行标记。在我们的研究过程中，我们针对这两个步骤尝试了几种方法，在本文中，我们提出了一种设置，其中使用Mean-Shift分割执行过分割，并使用AdaBoost分类算法执行标记。这样的设置在我们的实验中产生了最好的结果，我们也在这里介绍了这些结果。
Face image segmentation and labeling is required in several quality tests which a face image has to pass in order to be included into an electronic ID document. The complexity of such a problem depends on the complexity of the scene, but in general there are no restrictions to the scene. The procedure that we have developed segments a face image into five regions: skin, hair, shoulders, background and padding frame. The presented method consists of two main steps: oversegmentation and labeling. In the first step, the image is segmented into homogeneous regions, whereas in the second step, the labeling of the homogeneous regions is performed. In the course of our research we experimented with several methods for the two described steps, and in this paper we present a setup in which the oversegmentation is performed using the mean-shift segmentation, and labeling is performed using the AdaBoost classification algorithm. Such setup has produced the best results in our experiments which we also present herein.