Wavelet based palm print recognition

Palm print is a new biometric method to recognize a person. Features in a palm print include principal lines, wrinkles and ridges, etc. The fact that the principal lines, wrinkles and ridges have different resolutions motivates us to analyze the palm print using a multiresolution analysis method. A novel palm print feature, named wavelet energy features (WEF), is defined employing wavelet which is a powerful tool of multiresolution analysis. In this paper. WEF can reflect the wavelet energy distribution of the principal lines, wrinkles and ridges in several directions at different wavelet decomposition levels (scales), so its ability to discriminate palms is very strong. To compute with ease is another virtue of WEF. The very high recognition rates obtained in experiments shows the effectiveness of the proposed method.