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- Title
Comparison between LDA and PCA with the use of the color to face authentication.
- Authors
Fedias, Meriem; Djamel, Saigaa
- Abstract
The face authentication systems generally use the representation in levels of gray of the face image like characteristic of entry; but in this work we studied the contribution of the color to the face authentication, for the extraction of face characteristics of the data base, we tested a different color spaces on two methods: the method of principal components Analysis PCA and the method of linear discriminant analysis LDA and once the characteristic vector is extracted, the next stage consists in comparing it with the vector characteristic of face witch authenticated, and with the use of each component color alone at the entry of this system, we calculates the error rates in the two sets of validation and test for the data base XM2VTS according to the protocol of Lausanne, and finally we compare between these two methods to see the improvements which can give us each method with the different color spaces.
- Subjects
LAUSANNE (Switzerland); COLOR space; FISHER discriminant analysis; PRINCIPAL components analysis; ERROR rates
- Publication
Przegląd Elektrotechniczny, 2024, Vol 2024, Issue 9, p75
- ISSN
0033-2097
- Publication type
Article
- DOI
10.15199/48.2024.09.12