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Research Article

Facial Expression Identification using PCA and Random Forest Classifier

Ruchita Yadav  ·  Mukti Awad Ghorpade

IJDACR Vol.4 No.9 (April 2016) ISSN 2319-4863 Open Access Peer Reviewed

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.4 · Issue 9

Published

April 2016

Access

Open Access

Licence

CC BY-NC-SA 4.0

Authors

Ruchita Yadav Mukti Awad Ghorpade

Abstract

The main aim of this paper is to analyze the method of Principal Component Analysis (PCA) and its performance when applied to face recognition. In previous work [10], they use Euclidian Distance for recognition. Here we use Random Forest Classifier which has much higher recognition accuracy than other methods.

How to Cite

Ruchita Yadav, Mukti Awad Ghorpade (2016). Facial Expression Identification using PCA and Random Forest Classifier. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 9. ISSN: 2319-4863.

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Article Info

Journal IJDACR
Volume Vol. 4
Issue No. 9
Month April
Year 2016
ISSN 2319-4863
Access Open Access

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