Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy...
-
date post
21-Dec-2015 -
Category
Documents
-
view
234 -
download
0
Transcript of Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy...
Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accu
racy
9977003 吳思穎
Introduction
Tradition :
store the minutiae template in the database.-> include two step : 1. minutiae extraction 2. minutiae matching
This paper :
reconstructing fingerprint’s orientation field from minutiae and further utilizing it in the matching stage to enhance the system’s performance.
fusing the results of orientation field matching with conventional minutiae-based matching.
• Section II : the algorithm of reconstructing
orientation field
• Section III : the algorithm of fingerprint
recognition by minutiae and
orientation field.
• Section IV : experimental results
• Section V : conclusion and discussion
The algorithm of reconstructing orientation field
• Interpolation
• Reconstruction Using an Orientation Model
Interpolation
Producing “virtual” minutiae using interpolation
(1)
(2)
2,2
,0 ,
ii
iii
otherwise ,
2
- and 2
,
otherwise ,
2
- and 2
,
3
1323
3
22
1
1321
1
if
if
Interpolation
Producing “virtual” minutiae using interpolation
(3)
(4)
3133221
21
2133221
13
1133221
32p
dddddd
dd
dddddd
dd
dddddd
dd
2
3 ,-2
0 ,
02
- ,
pp
pp
pp
p
Reconstruction Using an Orientation Model
• Polynomial model
• Reconstruction the orientation field using polynomial model
,sin2i,cos2
,,,
yxyx
yxIMiyxREyxU
yx,sin2-Py,x,PIyx,cos2-Py,x,PRmin arg P,Pyx,
202
201
P2P1,
*2
*1
Fig. 5. Results of the proposed algorithm: (a) virtual minutiae by interpolation (the bigger red minutiae are “real,, while the smaller purple ones are “virtual,);
(b) the reconstructed orientation field.
Fig. 6. Comparison result I: (a ) minutiae image with a wrong direction (marked with ellipse ) ; (b ) the corresponding poor result by interpolation (marked with ellipse ) ;(c ) the corresponding good result by the proposed IM method.
Fig. 7. Comparison result II: (a ) minutiae image with a sparse region (marked with ellipse ) ; (b ) the corresponding poor result by model-based algorithm (marked with
ellipse ) ; (c ) the corresponding good result by the proposed IM method.
The algorithm of fingerprint recognition by minutiae and orientation field.
ji,
ji,N
1BA,s
ji,-ji,ji, BA0