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0.9
0.85
0.8
0.75
0.7
0.65
0
50
100
150
200
Iteration t
(a)
0.9
0.85
0.8
0.75
0.7
0.65
0.6
0.55
0.5
0.45
0.4
0
5
10
15
20
25
30
35
40
Iteration t
(b)
Fig. 2.
The effect of iteration
t
to recognition. (a) Iteration
t
from 10 to 200. (b) Iteration
t
from 2
to 40
3
Improvement Using Wavelet Transform
The wavelet transformation [11] is a time-frequency analysis based on short-time
fourier transformation. One of features is Multi-resolution analysis. This method can
decompose a signal in coarse-to-fine to acquire some key information by selecting
different scales factors of scale function and wavelet function. For image, we usually
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