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CLASSIFIEDTEXT

SCANNING

CLASSIFICATION

FEATURE EXTRACTION

PAPERDOCUMENT

GRAY LEVELIMAGE

FEATUREVECTORS

POSTPROCESSING

CLASSIFIEDCHARACTERS

PREPROCESSINGSINGLECHARACTERS

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x (y)

x (y)x

y

L

R

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A B C

D E F

G H I

P1

P2

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1a*

1

1d*

1

1

1*

1*

1*

1

x

y

a

d

*c

*c

b

*b

1**

1a**

1**

1**

1**

1**d

x

y

b = c = 0.0

d

a

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0 1 2 3 4 5 6 7 8 9

16 x 16 input image

12 feature detectors8 x 8 matrices

1. hidden layer

2. hidden layer

12 feature detectors4 x 4 matrices

3. hidden layer

30 units

10 output nodes

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