Automated face detection and recognition for a login system
Date
2007-03
Authors
Louw, Lloyd A. B.
Journal Title
Journal ISSN
Volume Title
Publisher
Stellenbosch : University of Stellenbosch
Abstract
The face is one of the most characteristic parts of the human body and has been used
by people for personal identification for centuries. In this thesis an automatic process for
frontal face recognition from 2–dimensional images is presented based on principal component
analysis. The goal is to use these concepts in eventual face–recognizing login software.
The first step is detecting faces in images that are allowed a certain degree of clutter.
This is achieved by skin colour detection in the HSV colourspace. This process indicates
the area of the image most likely corresponding to the face. Extracting the face is achieved
by morphological processing of this area of the image. The face is then normalized by
a transformation that uses the eye coordinates as input. Automatic eye detection is implemented
based on colour analysis of the facial images and a 91.1% success rate is achieved.
Recognition of the normalized faces is achieved using eigenfaces. To calculate these, a
large enough database of facial images is needed. The xm2vts database is used in this
thesis as the images have very constant lighting conditions throughout – an important
factor affecting the accuracy of the recognition stage. Distinction is also made between
identification and verification of faces. For identification, up to 80.1% accuracy is achieved,
while for verification, the equal error rate is approximately 3.5%.
Description
Thesis (MScEng (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2007.
Keywords
Dissertations -- Applied mathematics, Theses -- Applied mathematics, Biometric identification, Computer security, Human face recognition (Computer science)