## Abstract Face recognition has always been a potential research area because of its demand for reliable identification of a human being especially in government and commercial sectors, such as security systems, criminal identification, border control, etc. where a large number of people interact
β¦ LIBER β¦
Incremental learning of feature space and classifier for face recognition
β Scribed by Seiichi Ozawa; Soon Lee Toh; Shigeo Abe; Shaoning Pang; Nikola Kasabov
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 218 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0893-6080
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This paper presents a multiple classifier system for the face recognition problem-based on a novel divide-andconquer approach using appearance-based statistical methods, namely principal component analysis (PCA), linear discriminant analysis (LDA) and independent component analysis (ICA). A facial i