Ear image denoising plays an important role in ear recognition system.
人耳图像的去噪是人耳识别过程中的一个重要步骤。
A whole ear recognition system is mainly composed of four steps: image inputting, ear detection, feature extraction and recognition.
一个完整的人耳识别系统主要包括以下几个部分：图像读取、人耳检测、特征提取和识别。
The experiment's result shows that ear's features enhance the vector's performance. The right recognition rate is 86 present in the ear recognition system.
实验证明，加入外耳特征参量后提高了特征向量的特异性，达到了86％的正确识别率。
Experimental results show that ear detection is feasible with our method, which is expected to be beneficial to the development of automatic ear recognition system.
实验结果表明，该方法取得了较好的结果，有望为人耳自动识别系统的开发提供有益的参考。
Now, with in-depth study of recognition system, ear detection in different conditions becomes more and more important as the first key step in the whole recognition system.
随着人耳识别研究的深入，人耳检测作为人耳识别系统中关键的一步也开始引起人们的重视。
Now, with in-depth study of recognition system, ear detection in different conditions becomes more and more important as the first key step in the whole recognition system.
随着人耳识别研究的深入，人耳检测作为人耳识别系统中关键的一步也开始引起人们的重视。
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