The present paper aims to introduce a new method of face recognition based on integrating the results of three different
neural networks and discuss the final outcome from a fuzzy point of view (recognition classifier). The first merit of this
method is that it is not relying on the positions of eyes and lip on an individual's face. The second is that even if the face
is partially covered, the method appears fault tolerant. All the experiments of the study were carried out based on the
ORL (Olivetti Research Laboratory) database with 5 training images. For the selected numbers of 20, 30, and 40
subjects, we came to the results of 94%, 92.5%, and 90.25% respectively.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.