A novel hierarchical approach for multispectral palmprint recognition
The characteristics of the multispectral palmprint image are more distinctive than the natural light image. A hierarchical idea is used to improve the recognition accuracy. The BDOC method and BHOG method are proposed to extract the robust orientation features from the multispectral palmprint image. To further improve the recognition accuracy, a feature level fusion scheme based on the hierarchical idea is used to integrate the multispectral information.
multispectral palmprint recognition biometrics hierarchical recognition block dominant orientation code block-based histogram of oriented gradient feature fusion