Radon transform for face recognition

Radon transform for face recognition,10.1007/s10015-010-0827-2,Artificial Life and Robotics,Jamal Ahmad Dargham,Ali Chekima,Ervin Moung,Sigeru Omatu

Radon transform for face recognition  
BibTex | RIS | RefWorks Download
Face recognition is an important biometric because of its potential applications in many fields such as access control, surveillance, and human-computer interactions. In this article, an investigation of the effect of the step size for both the angle and the vector of the Radon transform on the performance of a face recognition system based on principal component analysis (PCA) and Euclidean distance is carried out. It was found that changing the vector or the angle step size affects the performance of the system. However, the best equal error rate is achieved when the step size for both angle and vector is set to 1.
Journal: Artificial Life and Robotics , vol. 15, no. 3, pp. 359-362, 2010
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.