An Efficient Color Face Verification Based on 2-Directional 2-Dimensional Feature Extraction
This is an incremental improvement for face verification systems, potentially enhancing security applications.
The paper tackled face verification by proposing a framework that combines 2-directional 2-dimensional feature extraction with skin color information, achieving high verification accuracy and speed on the XM2VTS database.
A novel and uniform framework for face verification is presented in this paper. First of all, a 2-directional 2-dimensional feature extraction method is adopted to extract client-specific template - 2D discrimant projection matrix. Then the face skin color information is utilized as an additive feature to enhance decision making strategy that makes use of not only 2D grey feature but also 2D skin color feature. A fusion decision of both is applied to experiment the performance on the XM2VTS database according to Lausanne protocol. Experimental results show that the framework achieves high verification accuracy and verification speed.