Pattern recognition using clustering method
Loading...
Date
2018-05
Authors
Dharishaan Vengadesan
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Face recognition has become an important issue in many applications such as
security systems, credit card verification and criminal identification. Face
recognition is more secure in security system because facial image had been used
as the ID. It also helps to avoid any duplicated identification. Face recognition
helps to recognize the facial image especially to indentifying certain criminals.
Identifying and comparing faces in images is a very complex task, this is probably
why it has attracted so many researchers in the latest years. Common method used
in face recognition like eigenface method will be discussed. The objectives of this
project are to design and develop a face recognition using MATLAB software
beside to comprehend eigenfaces method of recognizing faces images. The face
space is defined by the "eigenface", which are the eigenvectors of the set of faces,
they do not necessarily correspond to isolated features such as eyes, ears and
noses. Eigenfaces approach seems to be an adequate method to be used in face
recognition due to its simplicity, speed and learning capability. Experimental
results are given to demonstrate the viability of the proposed face recognition
method. On the whole, when the system is modelled and tested, it was unreliable at
times. The accuracy of the system was not high and has to be further improved.