Title :
Fingerprint enhancement
Author :
Hong, Lin ; Jian, Afshin ; Pankanti, Sharath ; Bolle, Ruud
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
Abstract :
Fingerprint images vary in quality. In order to ensure that the performance of an automatic fingerprint identification system (AFIS) will be robust with respect to the quality of input fingerprint images, it is essential to incorporate a fingerprint enhancement module in the AFIS system. We introduce a new fingerprint enhancement algorithm which decomposes the input fingerprint image into a set of filtered images. From the filtered images, the orientation field is estimated and a quality mask which distinguishes the recoverable and unrecoverable corrupted regions in the input image is generated. The input fingerprint image is adaptively enhanced in the recoverable regions. The performance of our algorithm has been evaluated on an online fingerprint verification system using the MSU fingerprint database containing over 600 fingerprint images. Experimental results show that our enhancement algorithm improves the performance of the online fingerprint verification system and makes it more robust with respect to the quality of input fingerprint images
Keywords :
fingerprint identification; image enhancement; automatic fingerprint identification system; filtered images; fingerprint enhancement; fingerprint enhancement module; fingerprint images; online fingerprint verification system; quality mask; Bifurcation; Computer science; Computer vision; Epidermis; Fingerprint recognition; Image databases; Image matching; Robustness;
Conference_Titel :
Applications of Computer Vision, 1996. WACV '96., Proceedings 3rd IEEE Workshop on
Conference_Location :
Sarasota, FL
Print_ISBN :
0-8186-7620-5
DOI :
10.1109/ACV.1996.572056
