The research of nose identification using wavelet transform based on Bayesian

With the rapid development of modern society and technological progress, using a variety of human organs to identify the needs of growing, due to wavelet decomposition in the airspace and frequency domain can provide good local information, especially in the wavelet decomposition can be reduced the image resolution, and thus a corresponding reduction in computational complexity, the wavelet transform often used in image processing and image analysis, it is necessary for the nose of the biological characteristics of this new identification, this paper presents a wavelet transform based on Bayesian nose identification methods, the basic idea is to use wavelet transform to extract image features of the nose, and then use Bayesian methods to validate and identification.