Please use this identifier to cite or link to this item:
Title: Graphical representation of fingerprint images
Authors: Zhou, J
Zhang, D 
Wu, N
Guo, J
Keywords: Fingerprint recognition
Orientation field
Graphical model
Issue Date: 2004
Publisher: Kluwer Academic
Source: In D Zhang, M Kamel & G Baciu (Eds.), Integrated image and graphics technologies, p. 263-281. Boston: Kluwer Academic, 2004 How to cite?
Series/Report no.: Kluwer international series in engineering and computer science ; SECS 762
Abstract: Fingerprint recognition is very important in automatic personalidentification. In conventional fingerprint recognition algorithms,fingerprints are represented graphically with a simple set of minutiae andsingular points, but the information in this kind of representation is notadequate for large-scaleapplications or where fingerprint quality is poor. Acomplete and compact representation of fingerprints is thus highly desirable.In this chapter, we focus on research issues in the graphical representation offingerprints. We first introduce minutiae-based representation and providesome models for the graphical representation of orientation fields. Latterly,we deal with the generation of synthetic fingerprint images and concludewith a discussion of how to establish a complete fingerprint representation.
ISBN: 978-1-4020-7774-6
DOI: 10.1007/1-4020-7775-0_14
Appears in Collections:Book Chapter

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.