Paper Info
Title
Fusion Of Hand-Shape And Palm-Print Traits Using Morphology For Bi-Modal Biometric Authentication
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.
Year
DOI
Venue
2018
10.1504/IJBM.2018.095286
INTERNATIONAL JOURNAL OF BIOMETRICS
Keywords
Field
DocType
personal (identity) authentication, biometric recognition, multimodal biometrics, bimodal, handshape, palm-print, morphology
Hand geometry,Economics,Authentication,Pattern recognition,Palm print,Feature extraction,STRIPS,Voronoi diagram,Artificial intelligence,Biometrics,Marketing,Modal
Journal
Volume
Issue
ISSN
10
4
1755-8301
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Wen-Shiung Chen19312.36
Wei-Chang Wang200.34