Please use this identifier to cite or link to this item:
Title: Face authentication using logic fusion of Color with EFM Feature Extraction
Authors: M. Fedias
M. S. Mimoune
M. Boumehraz
Keywords: Biometric, Face recognition, Color spaces,EFM , Fusion decisions, security.
Issue Date: 28-Nov-2014
Abstract: In this paper, we investigate the use of colour information to face authentication systems. In order to improve the performance of these systems many colour components have been used. The results in different colorimetric components are combined by using a logic fusion for classification with different operators. For the extraction of feature vectors we have applied the Enhanced Fisher linear discriminant Model (EFM) which is presented as an alternative features extraction algorithm to Principal Component Analysis (PCA) which is widely used in automatic face recognition. We calculate the error rates in the two sets of data validation and data test according to the Lausane protocol (XM2VTS). The results obtained show that the use of colour improves the performance of authentication by (3%) compared to greyscale system. This system can be employed in high security. .
Appears in Collections:Publications Nationales

Files in This Item:
File Description SizeFormat 
“Face authentication using logic fusion of Color with EFM feature Extraction.pdf141,22 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.