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Adaptive Fingerprint Image Enhancement with Emphasis on Preprocessing of Data

Ström Bartunek, Josef; Nilsson, Mikael LU ; Sällberg, Benny and Claesson, Ingvar (2013) In IEEE Transactions on Image Processing 22(2). p.644-656
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
successive mean quantization transform, Fourier transform, image processing, directional filtering, spectral feature estimation
in
IEEE Transactions on Image Processing
volume
22
issue
2
pages
644 - 656
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000314717800019
  • scopus:84872237660
ISSN
1941-0042
DOI
10.1109/TIP.2012.2220373
language
English
LU publication?
yes
id
44d2238c-b59f-4756-8264-e4baa1caf856 (old id 3294696)
date added to LUP
2013-03-06 19:19:18
date last changed
2019-03-19 01:19:37
@article{44d2238c-b59f-4756-8264-e4baa1caf856,
  abstract     = {This article proposes several improvements to an<br/><br>
adaptive fingerprint enhancement method that is based on<br/><br>
contextual filtering. The term adaptive implies that parameters<br/><br>
of the method are automatically adjusted based on the input<br/><br>
fingerprint image. Five processing blocks comprise the adaptive<br/><br>
fingerprint enhancement method, where four of these blocks are<br/><br>
updated in our proposed system. Hence, the proposed overall<br/><br>
system is novel. The four updated processing blocks are; preprocessing,<br/><br>
global analysis, local analysis and matched filtering.<br/><br>
In the pre-processing and local analysis blocks, a nonlinear<br/><br>
dynamic range adjustment method is used. In the global analysis<br/><br>
and matched filtering blocks, different forms of order statistical<br/><br>
filters are applied. These processing blocks yield an improved<br/><br>
and new adaptive fingerprint image processing method. The<br/><br>
performance of the updated processing blocks is presented in the<br/><br>
evaluation part of this paper. The algorithm is evaluated towards<br/><br>
the NIST developed NBIS software for fingerprint recognition on<br/><br>
FVC databases.},
  author       = {Ström Bartunek, Josef and Nilsson, Mikael and Sällberg, Benny and Claesson, Ingvar},
  issn         = {1941-0042},
  keyword      = {successive mean quantization transform,Fourier transform,image processing,directional filtering,spectral feature estimation},
  language     = {eng},
  number       = {2},
  pages        = {644--656},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Image Processing},
  title        = {Adaptive Fingerprint Image Enhancement with Emphasis on Preprocessing of Data},
  url          = {http://dx.doi.org/10.1109/TIP.2012.2220373},
  volume       = {22},
  year         = {2013},
}