Title : 
Intrinsic coordinates for fingerprints based on their longitudinal axis
         
        
        
            Author_Institution : 
Inst. for Math. Stochastics, Univ. of Gottingen, Gottingen, Germany
         
        
        
        
        
        
            Abstract : 
Image alignment is an important step in the fingerprint recognition process. In order to obtain that Euclidean motion, its rotation and both translational components need to be determined. We propose a novel method to obtain this information by extracting the fingerprints´ longitudinal axes from their orientation fields. A model-based approach allows to additionally fix a horizontal axis, thereby defining an intrinsic coordinate system. We evaluated the robustness of this method on the NIST Special Database 4.
         
        
            Keywords : 
fingerprint identification; Euclidean motion; NIST Special Database 4; fingerprint intrinsic coordinates; fingerprint recognition; image alignment; intrinsic coordinate system; longitudinal axis; Computational complexity; Data mining; Databases; Fingerprint recognition; Fingers; Medical treatment; NIST; Robustness; Stochastic processes; System testing;
         
        
        
        
            Conference_Titel : 
Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
         
        
            Conference_Location : 
Salzburg
         
        
        
            Print_ISBN : 
978-953-184-135-1
         
        
        
            DOI : 
10.1109/ISPA.2009.5297679