Facial Expression Recognition Using Wavelet and K-Nearest Neighbour

被引：0

作者：

Kumar, V. ^{[1
]}

Basha, A. Sikkander Ali ^{[1
]}

机构：

[1] PA Coll Enginnering & Technol, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India

来源：

SECOND INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN ENGINEERING AND TECHNOLOGY (ICCTET 2014) | 2014年

关键词：

Classifier; Recognition; High dimensional;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We present a new approach to facial expression recognition, which uses Wavelet for reducing the high dimensional data of facial expression images into a relatively low dimension data and then uses K nearest neighbor(KNN) as the classifier for the expression classification afterwards. In Existing System, uses Stochastic Neighbor Embedding (SNE) for reducing the high dimensional data of facial expression images into a relatively low dimension data and then uses support vector machine (SVM) as the classifier for the expression classification afterwards.

引用

页码：48 / 52

页数：5

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