IJBTT

Video Based Face Extraction and Recognition

	International Journal of Engineering Trends and Technology (IJETT)
	© 2015 by IJETT Journal
	Volume-22 Number-8
	Year of Publication : 2015
	Authors : Hemant Patil, Richa Swami, Poorvi Tusam
	DOI :  10.14445/22315381/IJETT-V22P275

Citation 

Hemant Patil, Richa Swami, Poorvi Tusam"Video Based Face Extraction and Recognition", International Journal of Engineering Trends and Technology (IJETT), V22(8),363-368 April 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
This project implements face extraction as well as recognition. A video is provided as the input initially. All the faces from the video are extraction. These faces are further optimized to remove redundant data. A video is played resulting all the faces which were extracted from the input video. An image then is provided as an input for face recognition. This image is matched with the datasets of the faces extracted and if the match is found it is displayed as the result. Voila Jones algorithm is used for face detection. PCA algorithm is used for comparing frames. Eigen values are calculated which are used for comparison.

 References

[1] Unsang Park and Anil K. Jain. Michigan State University, East Lansing, MI 48824, USA (page no. 1)
[2] Implementing the Viola-Jones Face Detection Algorithm, Ole Helvig Jensen, Kongen Lyngby 2008 (page no. 9, page no.11)
[3] http://en.wikipedia.org/wiki/Image_histogram
[4]MATLAB Documentation : http://in.mathworks.com/help/matlab/ref/movie.html
[5] Eigen faces for Recognition, Matthew Turk and Alex Pentland. Vision and modeling group, Themedia laboratory, Massachusetst institute of technology
[6]http://en.wikipedia.org/wiki/Viola%E2%80%93Jones_obje ct_detection_framework
[7] A Fast Kernel Parametric Active Contour Method for Detecting Tumor based on Image Segmentation, Binil Kumar K ,Anoop B K, Adarsh K S

Keywords
Voila jones, PCA, eigen values.