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Book Chapter
Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 2359/2002
Book
Biometric Authentication
DOI
10.1007/3-540-47917-1
Copyright
2002
ISBN
978-3-540-43723-9
DOI
10.1007/3-540-47917-1_5
Pages
39-47
Subject Collection
Computer Science
SpringerLink Date
Tuesday, January 01, 2002
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Complex Filters Applied to Fingerprint Images Detecting Prominent Symmetry Points Used for Alignment
Kenneth Nilsson
7
and Josef Bigun
7
(7)
School of Information Science, Computer and Electrical Engineering (IDE), Halmstad University, P.O. Box 823, SE-301 18 Halmstad, Sweden
Abstract
For the alignment of two fingerprints position of certain landmarks are needed. These should be automatically extracted with low misidentification rate. As landmarks we suggest the prominent symmetry points (core-points) in the fingerprint. They are extracted from the complex orientation field estimated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation field in multiple resolution scales, are used to detect the symmetry and the type of symmetry. Experimental results are reported.
Kenneth
Nilsson
Email:
Kenneth.Nilsson@ide.hh.se
Josef
Bigun
Email:
Josef.Bigun@ide.hh.se
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