In order to study the novel biometric of eyebrow,this paper presents an eyebrow recognition method by comparison of feature strings,the basic idea of which is to extract feature strings using discrete Fourier transformation and K-means algorithm,and to recognize a given eyebrow image as the candidate per- son with the minimum edit distance between their feature strings.

In order to demonstrate the possibility and feasibility that eyebrow can work as a biometric,this paper presents an eyebrow recognition method,the relation of whose accuracy to the observation symbol number and the state number has been preliminarily investigated.

This paper analyzes the possibility that human eyebrow works as an independent biometric for personal identification,and proposes the idea that PCA may be applied to eyebrow recognition.

The amelioration to the face recognition algorithm based on the Viola-Jones frame;

After summarizing the main techniques of person identification and face recognition, we describe and debate the main methods of image smoothing and filtering how to locate the face from a registration imageand how to detect the eyes corners.

According to the modeling method,the analysis and design of equipment diagnosis system,including wearing judgment and place identification,are given.