The techniques of feature extraction, feature selection and design of classifier for passive sonar target recognition are reviewed.
文章对被动声纳目标识别的特征提取、特征选择和分类器设计方面进行了回顾。
On the design of classifier, by introducing support vector machine, Chinese tone recognition rate is improved under low signal noise rate conditions.
在分类器设计方面，通过引入支持矢量机，进一步提高低信噪比下的汉语声调识别率。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
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