Face recognition based on cycle kernel and gray kernels

Face recognition involves computer recognition of personal identity based on geometric or statistical features derived from face images. Even though humans can detect and identify faces in a scene with little or no effort, getting a computer to accomplish such objectives is very challenging. Researchers have been always investigating simple, accurate, and convenient approach to achieve face recognition. In this paper, we propose a novel multiple kernels method, which is based on cycle kernel and gray kernels. Experimental results indicate that multiple kernels method gets good performance.