Adaptive Fingerprint Image Enhancement with Emphasis on Preprocessing of Data
Författare
Summary, in English
This article proposes several improvements to an
adaptive fingerprint enhancement method that is based on
contextual filtering. The term adaptive implies that parameters
of the method are automatically adjusted based on the input
fingerprint image. Five processing blocks comprise the adaptive
fingerprint enhancement method, where four of these blocks are
updated in our proposed system. Hence, the proposed overall
system is novel. The four updated processing blocks are; preprocessing,
global analysis, local analysis and matched filtering.
In the pre-processing and local analysis blocks, a nonlinear
dynamic range adjustment method is used. In the global analysis
and matched filtering blocks, different forms of order statistical
filters are applied. These processing blocks yield an improved
and new adaptive fingerprint image processing method. The
performance of the updated processing blocks is presented in the
evaluation part of this paper. The algorithm is evaluated towards
the NIST developed NBIS software for fingerprint recognition on
FVC databases.
adaptive fingerprint enhancement method that is based on
contextual filtering. The term adaptive implies that parameters
of the method are automatically adjusted based on the input
fingerprint image. Five processing blocks comprise the adaptive
fingerprint enhancement method, where four of these blocks are
updated in our proposed system. Hence, the proposed overall
system is novel. The four updated processing blocks are; preprocessing,
global analysis, local analysis and matched filtering.
In the pre-processing and local analysis blocks, a nonlinear
dynamic range adjustment method is used. In the global analysis
and matched filtering blocks, different forms of order statistical
filters are applied. These processing blocks yield an improved
and new adaptive fingerprint image processing method. The
performance of the updated processing blocks is presented in the
evaluation part of this paper. The algorithm is evaluated towards
the NIST developed NBIS software for fingerprint recognition on
FVC databases.
Avdelning/ar
Publiceringsår
2013
Språk
Engelska
Sidor
644-656
Publikation/Tidskrift/Serie
IEEE Transactions on Image Processing
Volym
22
Issue
2
Dokumenttyp
Artikel i tidskrift
Förlag
IEEE - Institute of Electrical and Electronics Engineers Inc.
Ämne
- Mathematics
Nyckelord
- successive mean quantization transform
- Fourier transform
- image processing
- directional filtering
- spectral feature estimation
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1941-0042