Journal of Telematics and Informatics
Vol 2, No 1: March 2014

Facial Expression Recognition Using Euclidean Distance Method

Anagha Sharad Dhavalikar (Vivekanand Institute of Technology, Mumbai)
Ramesh K. Kulkarni (Professor, Vivekanand Institute of Technology, Mumbai)



Article Info

Publish Date
23 Apr 2015

Abstract

Facial expression recognition is found to be useful for emotion science, clinical psychology and pain assessment. In the proposed method, the face detection algorithm involves lighting compensation for getting uniformity on face and morphological operations for retaining the required face portion. After retaining the face portion in the image, the facial features like eyes, nose, and mouth are extracted using AAM (Active Appearance Model) method. For automatic facial expression recognition, simple Euclidean Distance method is used. In this method, the Euclidean distance between the feature points of the training images and that of the query image is compared. Based on minimum Euclidean distance, output image expression is decided.

Copyrights © 2014






Journal Info

Abbrev

JTI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Journal of Telematics and Informatics (e-ISSN: 2303-3703, p-ISSN: 2303-3711) is an interdisciplinary journal of original research and writing in the wide areas of telematics and informatics. The journal encompasses a variety of topics, including but not limited to: The technology of sending, ...