Title: Fusion of hand-shape and palm-print traits using morphology for bi-modal biometric authentication
Authors: Wen-Shiung Chen; Wei-Chang Wang
Addresses: Department of Electrical Engineering, National Chi Nan University, Pu-Li, Nan-Tou 545, Taiwan ' Department of Electrical Engineering, National Chi Nan University, Pu-Li, Nan-Tou 545, Taiwan
Abstract: This paper presents a bimodal biometric recognition technique fusing hand-shape and palm-print traits of a human hand for personal authentication. In this fusion scheme, a novel feature extraction based on morphology, called broken mirror method, is designed and two-stage recognition is proposed. We utilise the image morphology and concept of Voronoi diagram to slice the image of the front of the whole palm into several strips in which each strip is then decomposed into irregular blocks in accordance with the hand geometry. Furthermore, statistic characteristics of the grey level in each of the blocks are employed as feature values. In the final stage, a coarse recognition followed by a fine recognition will be adopted to recognise the identity. The experimental results show that the proposed biometric fusion system has an encouraging performance on recognition. The false acceptance rate (FAR) and false rejection rate (FRR) are reduced efficiently down to 0.0035% and 5.7692%, respectively. Our approach achieves the EER of about 7% which is better than that of other methods.
Keywords: personal (identity) authentication; biometric recognition; multimodal biometrics; bimodal; handshape; palm-print; morphology.
International Journal of Biometrics, 2018 Vol.10 No.4, pp.368 - 390
Available online: 09 Aug 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article