Personal recognition based on the Gabor features of colour palmprint images

In this paper a personal recognition system based on the Gabor features of colour palmprint images is described. The features are extracted by a bank of Gabor filters from the palmprint region represented by three primary spectral components: R, G and B. The system, based on fusion at the matching-score level, is used to improve the recognition accuracy. The recognition results of the system are compared with the results of a grey-level-based palmprint-recognition system for the same database.