Face Recognition with Hidden Markov Models

by Omid Sakhi

Face recognition is the process of recognizing a face inside an image. It is hard for a beginner to understand and implement it for the first time. This ebook solves this problem for you. This ebook provides a MATLAB code for you to recognize faces. Then it explains the code one line at a time until to understand the whole process.
The Method is based on Hidden Markov Models (HMMs) and Singular Value Decomposition (SVD) features. The ebook teaches

1) How to generate the dataset
2) Hidden Markov Models and how to use them in MATLAB
3) Creating an HMM model for recognizing faces
4) Singular Value Decomposition (SVD)
5) Quantization of features
6) Webcam Access in MATLAB
7) Live face recognition using webcam
8) Generating a simple menu for your program
9) Testing the system to obtain the recognition rate

The moment you understand these subjects, you are able to change the program or simply write your own. You can change the features, replace part of the program with another and easily work on new methods.

43 pages, Kindle Edition

First published November 10, 2013