Call For Paper Volume:6 Issue:4 Apr'2019 |

2D Assisted Facial Expressions Identification using PCA

Publication Date : 19/11/2015

Author(s) :

T.gopalakrishna , K.RAVI KIRAN.

Volume/Issue :
Volume 2
Issue 12
(11 - 2015)

Abstract :

Facial recognition is a technique makes it possible to use the facial images of a person to authenticate him into a secure system, for criminal identification, for passport verification. Facial expressions identification by using Principle Component Analysis (PCA) Mechanism. In PCA faces are represented as a linear combination of Eigen faces. It reduces the large dimensional space to small dimensional space. In this paper face recognition and the multiple expression images are taken for feature extraction and compare it with the registered database image. PCA can identify face and different expression such as Happy, Anger, Sad, Disgust, Neutral, fear etc. Training process that read all the faces where training database is stored and testing process that reads all the faces of the person where the test folder.

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2D Assisted Facial Expressions Identification using PCA

November 17, 2015