Paper Info
Title
An automated matching technique for fingerprint identification
Abstract
The purpose of this paper is to demonstrate how a structural matching approach can be used to perform effective rotational invariant fingerprint identification. In this approach, each of the extracted features is correlated with five of its nearest neighbouring features to form a local feature group for a first-stage matching. After that, the feature with the highest match is used as a central feature whereby all the other features are correlated to form a global feature group for a second-stage matching. The correlation between the features is in terms of distance and relative angle. This approach actually make the matching method rotational invariant. A substantial amount of testing was carried out and it shows that this matching technique is capable of matching the four basic fingerprint patterns with an average matching time of 4 seconds on a 66 MHz, 486 DX personal computer
Year
DOI
Venue
1997
10.1109/ETFA.1996.573260
Emerging Technologies and Factory Automation, 1996. EFTA '96. Proceedings., 1996 IEEE Conference
Keywords
DocType
Volume
feature extraction,fingerprint identification,image enhancement,image matching,486 dx personal computer,automated matching technique,first-stage matching,global feature group,local feature group,rotational invariant fingerprint identification,structural matching approach,fingerprint recognition,pattern matching,histograms,bifurcation,distance,testing,filtering
Conference
1
ISBN
Citations 
PageRank 
0-7803-3685-2
5
0.48
References 
Authors
5
2
Name
Order
Citations
PageRank
Dinesh P. Mital1404.71
Earn Khwang Teoh250.48