ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS’’, Bangkok, May 23-25, 2001 
245 
4 Result 
The algorithm has been valiadted in this study below: 
Some example of Sign Recogntion Result form the study 
Figure 8 Sign No.4 Result 
-Four Points were selected to calculate the affine parameter and 
the distorted road sign image was extracted. 
-After a distorted sign image was selected and corrected for 
geometry, two images were displayed. The left image is a 
geometric corrected image of the same size as the sign in Sign 
Library. The right image is an interpolated image. 
-After a geometric corrected image was calculated for Normalized 
Euclidean Distance with every Sign image in Sign Library, the 
program sorted the minimum Normalized Euclidean Distance 
(NED) from all images of Sign Library and finally that image was 
display as the temple matching result. (See Figure 8) 
Figure 9 the Sign No.4 Recognition Result 
The Sign No.4 Recognition Result 
S c 
I1 
z m 
0.002 
N W y 
= « c 0.0018 
,r « 
£ 0.0016 
□ 
0.0014 rrTT n-rrp— 
O o' 
TTrrrn-rrrT-f"TTTr-J T r; r 
oo 
The Number of Sign in Sign Library 
o The Normalized Euclidean Distance j