Fingerprint image quality analysis

This paper discusses methods in evaluating fingerprint image quality on a local level. Feature vectors covering directional strength, sinusoidal local ridge/valley pattern, ridge/valley uniformity and core occurrences are first extracted from fingerprint image subblocks. Each subblock is then assign...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Lim, E., Toh, K.-A., Suganthan, P.N., Jiang, X., Yau, W.-Y.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Biomedical signal processing Biosensors Computer science control theory systems Exact sciences and technology Fingerprint recognition Gabor filters Image analysis Image coding Image databases Image matching Image quality Pattern recognition. Digital image processing. Computational geometry Quality control
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	This paper discusses methods in evaluating fingerprint image quality on a local level. Feature vectors covering directional strength, sinusoidal local ridge/valley pattern, ridge/valley uniformity and core occurrences are first extracted from fingerprint image subblocks. Each subblock is then assigned a quality level through pattern classification. Three different classifiers are employed to compare each of its different effectiveness. Positive results have been obtained based on our database.
ISSN:	1522-4880 2381-8549
DOI:	10.1109/ICIP.2004.1419530