Personal recognition with nose area biometrics

The nose area of a face can provide some stable individual characteristic information for personal recognition because of its tiny changes affected by expression, weight and hairstyle. The paper first dissects the physiological structure of the nose and discusses the feasibility and characteristics of nose recognition. Furthermore, authors simplify Gabor's parameters in extracting nose features, and compare the recognition effect by experiment with the Gabor Kernel Fisher Discriminant Analysis in different databases. Experiment shows that the nose area has a better recognition result than the face when the face image has a rich expression or wide range poses.