Paper Info
Title
A Method Of Fingerprint Image Enhancement Based On Second Directional Derivatives
Abstract
We present an approach to fingerprint image enhancement that relies on detecting the fingerprint ridges based on the sign of the second directional derivative of the digital image. A facet model is used in order to approximate the derivatives at each image pixel based on the intensity values of pixels located in a certain neighborhood. The size of this neighborhood determines the scale of the image details that are preserved. We develop a selection criterion for the neighborhood size that aims to preserve minutiae details and remove smaller details from the enhanced image. The experimental results demonstrate the ability of the proposed approach to preserve a large percent of the genuine minutiae in the enhanced image.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1415572
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
feature extraction,digital images,directional derivative,digital image,approximation theory,face detection,frequency,forensics,pixel,fingerprint recognition
Computer vision,Pattern recognition,Computer science,Fingerprint recognition,Minutiae,Feature extraction,Fingerprint,Digital image,Artificial intelligence,Pixel,Neighborhood operation,Pixel connectivity
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.41
References 
Authors
6
3
Name
Order
Citations
PageRank
Marius Tico122825.61
Markku Vehviläinen2121.79
Jukka Saarinen326446.21