Reliably Locating ROIs of Dual-Modal Biometric Images of Human Fingers

In order to improve the quality of finger-vein imaging and the accuracy of locating the regions of interest (ROIs) in finger-vein (FV) images and finger-knuckle-print (FKP) images, a new dual-modal finger imaging system and a new ROI localization method are both proposed in this paper. First, we design a finger arch imaging model with multi-spectrum and multi-intensity lights. This proposed model can reliably improve the quality of finger-vein images. Then, the inflection points of finger arches are used for finger-knuckle-print ROI localization. Based on the spatial relationship between two imaging spaces of a binocular camera, the coordinates of FKP ROIs are mapped into the FV imaging space for delineating FV ROIs. Experimental results show that the proposed methods are more desirable in dual-mode finger imaging and FV-FKP ROI extraction.