Title : 
A hybrid fingerprint matcher
         
        
            Author : 
Ross, Arun ; Jain, Anil ; Reisman, James
         
        
            Author_Institution : 
Michigan State Univ., East Lansing, MI, USA
         
        
        
        
        
        
            Abstract : 
We describe a hybrid fingerprint matching scheme that uses both minutiae and ridge flow information to represent and match fingerprints. A set of 8 Gabor filters, whose spatial frequencies correspond to the average inter-ridge spacing in fingerprints, is used to capture the ridge strength at equally spaced orientations. A square tessellation of the filtered images is then used to construct an eight-dimensional feature map, called the. ridge feature map. The ridge feature map along with the minutiae set of a fingerprint image is used for matching purposes. The genuine accept rate of the hybrid matcher is observed to be ∼10% higher than that of a minutiae-based matcher at low false accept rates. Fingerprint verification using the hybrid matcher on a Pentium III (800 MHz) processor takes ∼1.4 seconds.
         
        
            Keywords : 
fingerprint identification; image matching; Gabor filters; fingerprint verification; hybrid fingerprint matcher; inter-ridge spacing; ridge feature map; ridge flow information; spatial frequencies; Bifurcation; Fingerprint recognition; Frequency; Gabor filters; Image matching; Image sensors; Nonlinear distortion; Robustness; Solid state circuits; Tuning;
         
        
        
        
            Conference_Titel : 
Pattern Recognition, 2002. Proceedings. 16th International Conference on
         
        
        
            Print_ISBN : 
0-7695-1695-X
         
        
        
            DOI : 
10.1109/ICPR.2002.1048138