Facial expression recognition using wavelet and k-nearest neighbour

Author

Kumar, Vipin ; Basha, A. Sikkander Ali

Author_Institution

Dept. of Comput. Sci. & Eng., P.A Coll. Of Enginnering & Technol., Coimbatore, India

fYear

2014

fDate

8-8 July 2014

Firstpage

48

Lastpage

52

Abstract

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.

Keywords

emotion recognition; face recognition; image classification; learning (artificial intelligence); support vector machines; wavelet transforms; KNN classification; SVM; expression classification; facial expression images; facial expression recognition; k-nearest neighbour; stochastic neighbor embedding; support vector machine; wavelet transform; Biometrics (access control); Conferences; Databases; Face; Face recognition; Feature extraction; Image recognition; Classifier; High dimensional data; Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Current Trends in Engineering and Technology (ICCTET), 2014 2nd International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-7986-8

Type

conf

DOI

10.1109/ICCTET.2014.6966261

Filename

6966261