
An Efficient Hybrid Technique of Feature Extraction for Facial Expression Recognition
LAP Lambert Academic Publishing
Published on 19. February 2020
Book
Paperback/Softback
72 pages
978-620-0-58815-9 (ISBN)
Description
A single technique can extract only some of feature of facial expression image, but hybrid methods of different techniques have all combined advantage for feature extraction. The author has proposed a hybrid feature extraction technique based on the Discrete Cosine Transform, Wavelet transform, Gabor filter and Gaussian distribution. In the proposed scheme DCT and Discrete wavelet transform, Gabor filter and Gaussian distribution based feature extraction technique is applied separately and optimum features from each method is merged in a feature vector. Algorithms are implemented in Matlab and JAFEE dataset are used for experiment with ratio 70/30 of training/testing with adaboost classifiers for seven different facial expressions. The classification result of the proposed work is compared with DCT based feature extraction technique, Gabor Filter based feature technique, DWT based feature extraction technique and Gaussian distribution based technique.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 5 mm
Weight
125 gr
ISBN-13
978-620-0-58815-9 (9786200588159)
Schweitzer Classification
Persons
Shilpa Rani is currently the Assistant Prof., Dept of Information Technology, NEIL GOGTE Institute of Technology, Uppal, Hyderabad. She obtained her Bachelor of Technology Degree in Information Technology & her Masters degree in Software Engineering. She is pursuing PhD from Lovely Professional University in the research area of Computer Vision.