DocumentCode
3009139
Title
Fingerprint image quality analysis
Author
Lim, Eyung ; Toh, Kar-Ann ; Suganthan, P.N. ; Jiang, Xudong ; Yau, Wei-Yun
Author_Institution
Centre for Signal Process., Nanyang Technol. Univ., Singapore
Volume
2
fYear
2004
fDate
24-27 Oct. 2004
Firstpage
1241
Abstract
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.
Keywords
feature extraction; fingerprint identification; image classification; automatic fingerprint identification system; core occurrences; feature vector extraction; fingerprint image quality; image database; pattern classification; ridge-valley uniformity; sinusoidal local ridge-valley pattern; Biomedical signal processing; Biosensors; Fingerprint recognition; Gabor filters; Image analysis; Image coding; Image databases; Image matching; Image quality; Quality control;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-8554-3
Type
conf
DOI
10.1109/ICIP.2004.1419530
Filename
1419530
Link To Document