Inlämning av Examensarbete / Submission of Thesis

Gorka Treceño Fontecha; Beatriz Mora Barbero. BEE07:02, pp. 78. TEK/avd. för signalbehandling, 2007.

The work

Författare / Author: Gorka Treceño Fontecha, Beatriz Mora Barbero.
Jorgen.Nordberg@its.hk-r.se
Titel / Title: Examination of Various Approaches to Possibly Improve the Existing Algorithms Applied in Fingerprint Recognition Systems
Abstrakt Abstract:

In human fingerprints there are plenty of small details which are the discontinuities
in the ridges, denoted minutiae. Minutiae-based matching is a wellknown
method applied in fingerprint recognition. Minutiae defines a representative
feature vector of a fingerprint. Due to quality variations in fingerprint
images a preprocessing in form of binarization and skeltonization is applied,
before obtaining the feature vector. Once the features of each fingerprint are
obtained, a matching algorithm carries out the comparison task between those
features vectors to determine if they match.
In the new binarization function, quality at the same time that speed are
essential requirements. In order to sort out this subject, areas of an adaptive
size are analyzed instead of a pixel by pixel examination. The binarization
algorithm is implemented in the frequency domain with the concept of ridges
and their orientations.
Skeletonization is needed as a preprocessing step with the aim of obtaining
the minutiae from the fingerprint. It is a matter of fact that the high quality
skeleton is an emphatic factor in the fingerprint recognition. A robust skeletoned
image will ensure a reliable extraction of features. Several strategies
relating to the application of filters will be discussing in order to speed-up the
iteractive thinning algorithms.
The proposed minutiae matching algorithms explore though several variations
of the geometric hashing method. Based on minutiae features, new approaches
are presented to obtain an effectiveness function.

Ämnesord / Subject: Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Nyckelord / Keywords: Fingerprint Recognition

Publication info

Dokument id / Document id:
Program:/ Programme Elektroteknik
Registreringsdatum / Date of registration: 08/15/2007
Uppsatstyp / Type of thesis: C-Uppsats

Context

Handledare / Supervisor: Josef Ström
josef.strombartunek@bth.se
Examinator / Examiner: Jörgen Nordberg
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: TEK/avd. för signalbehandling
S-372 25 Ronneby
+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: thesis.pdf (3703 kB, öppnas i nytt fönster)