Fingerprint identification is one of the most important biometric technologies. The performance of the minutiae
extraction and the speed of the fingerprint verification system rely heavily on the quality of the input fingerprint images,
so the enhancement of the low fingerprint is a critical and difficult step in a fingerprint verification system. In this paper
we proposed an effective algorithm for fingerprint enhancement. Firstly we use normalization algorithm to reduce the
variations in gray level values along ridges and valleys. Then we utilize the structure tensor approach to estimate each
pixel of the fingerprint orientations. At last we propose a novel algorithm which combines the advantages of onedimensional
Gabor filtering method and anisotropic method to enhance the fingerprint in recoverable region. The
proposed algorithm has been evaluated on the database of Fingerprint Verification Competition 2004, and the results
show that our algorithm performs within less time.
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