C11. A Radon transform based technique for identification of palmprint images

Palmprint based identification has gradually attracted the attention of researchers due to its richness in amount of features. Palmprint contains geometry features, line features, point features, texture features and statistical features. In this paper, a simple and effective methodology for palmprint-based identification system is proposed. The palmprint image is segmented and processed in spatial domain, then, the proposed technique extracts palmprint features using Radon transform. Radon transform enables the extraction of directional characteristics from the palm of the hand. In order to compare the uniqueness as well as the stability of the palmprint signature, backpropagation neural network was used for the identification stage. Experimental results verify the validity of the proposed approaches in personal authentication.