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The comparison of ear recognition methods under different illumination effects and geometrical changes

机译：不同光照效果和几何变化下人耳识别方法的比较

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This paper presents the ear shape permanence study. The main purpose of this study is to determine the permanence of the ear shape and when does the ear stop developing. This is done by comparing ear recognition methods using images affected by illumination and geometrical changes. However, current work determine the most suitable method that can be used for ear recognition of young children that still under-go different geometrical changes and skin complexion changes. Therefore, suitable algorithm should be less sensitive to illumination and more sensitive to growth in order to be able to track significant changes of the ear caused by growth. Methods that are evaluated are the Histogram of Oriented Gradients (HOG), Patterns of Oriented Edge Map (POEM), Local Binary Patterns (LBP) and Gabor Filters. To perform the evaluation, 1000 ear images were generated from 100 ear images, 10 per each subject. For each subject, all 10 images have different illumination and another 10 have different geometrical changes. The results obtained show that a combination of HOG and LBP is suitable for ear recognition under geometrical and illumination changes.
机译：本文介绍了耳朵形状的持久性研究。这项研究的主要目的是确定耳朵形状的永久性以及何时停止发育。这是通过比较受光照和几何变化影响的图像的耳朵识别方法来完成的。但是，当前的工作确定了最适合用于仍经历不同几何变化和肤色变化的幼儿的耳朵识别的方法。因此，合适的算法应该对照明不太敏感，而对生长更敏感，以便能够跟踪由生长引起的耳朵的明显变化。评估的方法是定向梯度直方图（HOG），定向边缘贴图的模式（POEM），局部二值模式（LBP）和Gabor过滤器。为了进行评估，从100个耳朵图像中生成了1000个耳朵图像，每个对象10个。对于每个对象，所有10张图像具有不同的照明，另外10张图像具有不同的几何变化。获得的结果表明，HOG和LBP的组合适用于几何和光照变化下的耳朵识别。

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