A hardware based on the ARM9 processor, using principal component analysis (PCA) of
face recognition systems achieved recognition from the PC machine. System uses the …

The face recognition system is used to create a national database for the purpose of identity
cards, voting in an electoral systems, bank transaction, food distribution system, control over …

Building an automated system for recognition of Human Face with quite good accuracy and
speed as similar to human brain‟ s ability is quite a challenging task. Principal Component …

In this paper, the authors present a method of face recognition in which features are
extracted by applying Principal component analysis on wavelet subband. Support vector …

Face recognition can represent a key requirement in various types of applications such as
human-computer interface, monitoring systems, as well as personal identification. In this …

Face recognition is an active research area in various streams such as pattern recognition,
image processing. The Strong need of Face Recognition is personal identification and …

Face recognition is emerging as an active research area spanning several disciplines such
as image processing, pattern recognition, computer vision and neural networks. This paper …

The goal of this research paper was to design and use a component based approach to face
recognition and show that this technique gives us recognition rates of up to 92%. A novel …

Human face recognition is a widely used biological recognition technology, and a core issue
of safeguard. The embedded face recognition system is based on MagicARM2410 …

Face recognition is important in human identification. The biological recognition technique
acts as a good method and broad applications in security areas. This work presents a …