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ed
te
x
t
.
No
r
m
a
l
p
r
in
ted
d
o
cu
m
e
n
ts
w
i
th
a
tex
t
h
as
a
s
k
e
w
an
g
le
o
f
z
er
o
.
Sin
ce
d
o
cu
m
en
t
an
al
y
s
i
s
alg
o
r
ith
m
s
i
n
s
o
m
e
s
y
s
te
m
s
s
u
c
h
as
OC
R
u
s
u
al
l
y
as
s
u
m
e
ze
r
o
s
k
e
w
ed
p
ag
es,
s
k
e
w
co
r
r
ec
tio
n
ar
e
i
m
p
o
r
tan
t
s
tep
s
i
n
t
h
e
p
r
ep
r
o
ce
s
s
in
g
s
ta
g
e.
Ho
w
ev
er
,
s
k
e
w
co
r
r
ec
tio
n
is
p
er
f
o
r
m
e
d
o
n
th
e
d
o
cu
m
e
n
t
a
f
ter
s
ca
n
n
in
g
t
h
e
d
o
cu
m
en
t
an
d
b
ef
o
r
e
it
ap
p
ea
r
s
o
n
th
e
co
m
p
u
ter
s
cr
ee
n
.
A
r
ab
ic/J
aw
i
b
ased
s
k
e
w
co
r
r
ec
tio
n
p
r
o
ce
s
s
es
h
av
e
b
ee
n
p
r
o
p
o
s
ed
b
y
[
2
]
.
Ho
w
e
v
er
,
th
e
s
tep
to
d
etec
t
th
e
s
k
e
w
o
f
p
ag
es
o
r
li
n
es
f
o
r
th
e
Mu
s
h
a
f
A
l
-
Q
u
r
an
ca
n
n
o
t
b
e
th
e
s
a
m
e
as
A
r
ab
ic/J
a
w
i
d
o
cu
m
en
ts
.
T
h
is
is
b
ec
au
s
e
Mu
s
h
af
A
l
-
Q
u
r
an
co
n
tai
n
s
d
iacr
itic
s
(
T
ash
k
il)
th
a
t
d
o
n
o
t e
x
i
s
t in
A
r
ab
ic/J
a
w
i h
a
n
d
w
r
itte
n
d
o
cu
m
en
ts
.
3.
RE
L
AT
E
D
WO
RK
3
.
1
.
B
ina
risa
t
io
n
A
n
u
m
b
er
o
f
s
tu
d
ie
s
r
eg
ar
d
in
g
b
in
ar
is
a
tio
n
tec
h
n
iq
u
es
ar
e
r
ev
ie
w
ed
in
t
h
i
s
p
ap
er
.
B
in
ar
is
atio
n
i
s
r
eq
u
ir
ed
in
th
e
f
ir
s
t
p
lace
b
ef
o
r
e
d
etec
tin
g
th
e
s
k
e
w
it
b
ec
au
s
e
it
is
u
s
u
all
y
p
er
f
o
r
m
ed
in
th
e
p
r
ep
r
o
ce
s
s
in
g
s
tag
e
f
o
r
co
n
v
er
ti
n
g
th
e
g
r
a
y
-
s
ca
le
i
m
a
g
e
in
to
a
b
in
ar
y
i
m
ag
e
f
o
r
m
w
h
ich
ca
n
f
ac
ilit
ate
o
t
h
er
task
s
t
h
at
ca
n
b
e
m
ad
e
o
n
a
n
i
m
a
g
e
d
o
cu
m
e
n
t
s
u
c
h
as
s
k
e
w
d
etec
tio
n
a
n
d
c
o
r
r
ec
tio
n
.
I
n
[
3
]
an
i
m
p
r
o
v
e
m
en
t
o
f
b
in
ar
izatio
n
tech
n
iq
u
e
f
o
r
b
in
ar
izin
g
d
eg
r
ad
ed
J
aw
i
a
n
cien
t
d
o
cu
m
e
n
t
u
s
i
n
g
W
ien
er
f
i
lter
in
g
f
o
r
b
ac
k
g
r
o
u
n
d
esti
m
at
io
n
,
i
m
a
g
e
co
n
tr
ast
ad
j
u
s
t
m
e
n
t,
a
n
d
lo
ca
l
O
ts
u
t
h
r
es
h
o
ld
in
g
to
ex
tr
ac
t
th
e
te
x
t
f
r
o
m
t
h
e
b
a
ck
g
r
o
u
n
d
a
n
d
s
p
o
t
n
o
is
e
r
e
m
o
v
al.
A
cc
o
r
d
in
g
to
[
4
]
,
th
e
b
in
ar
y
i
m
a
g
e
i
s
t
h
e
i
m
a
g
e
w
h
ic
h
h
as
t
w
o
v
al
u
es
f
o
r
e
v
er
y
p
i
x
e
l;
th
e
t
w
o
co
lo
u
r
s
f
ea
s
ib
le
f
o
r
t
h
e
i
m
ag
e
in
a
b
i
n
ar
y
f
o
r
m
at
ar
e
b
lac
k
an
d
w
h
ite.
T
h
e
o
b
j
ec
ts
in
t
h
e
i
m
ag
e
co
u
ld
b
e
r
ep
r
esen
ted
as t
h
e
f
o
r
eg
r
o
u
n
d
co
lo
u
r
an
d
th
e
r
est o
f
th
e
i
m
ag
e
co
u
ld
b
e
r
ep
r
esen
ted
as t
h
e
b
ac
k
g
r
o
u
n
d
co
lo
u
r
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
17
,
No
.
1
,
J
an
u
ar
y
20
20
:
51
6
-
52
3
518
I
n
[
5
]
Ots
u
’
s
t
h
r
esh
o
ld
i
n
g
al
g
o
r
ith
m
w
as
u
s
ed
to
co
m
p
u
te
t
h
r
es
h
o
ld
f
r
o
m
t
h
e
g
r
a
y
s
ca
le
i
m
ag
e
a
n
d
to
f
i
n
all
y
r
ec
o
g
n
ize
t
h
e
A
r
ab
ic
c
h
ar
ac
t
er
.
I
n
[
6
]
s
m
ar
t
b
in
ar
i
s
atio
n
tech
n
iq
u
e
o
f
t
h
e
i
m
a
g
e
w
a
s
test
ed
o
n
d
i
f
f
er
en
t
d
eg
r
ad
atio
n
s
o
f
d
o
cu
m
e
n
t.
I
n
[
7
]
,
th
e
ter
m
b
in
ar
i
s
atio
n
ca
n
b
e
th
e
f
ir
s
t
s
ta
g
e
i
n
all
th
e
s
y
s
te
m
s
o
f
t
h
e
d
o
cu
m
en
t
an
al
y
s
is
.
F
u
r
th
er
m
o
r
e,
o
n
ce
th
er
e
is
a
d
o
cu
m
e
n
t
th
at
is
n
o
t
clea
r
en
o
u
g
h
,
o
n
e
o
f
th
e
b
in
ar
i
s
atio
n
m
et
h
o
d
s
m
u
s
t
b
e
ap
p
lied
to
g
e
t
th
e
r
elev
a
n
t
i
n
f
o
r
m
atio
n
.
T
h
er
e
ar
e
s
o
m
e
s
y
s
te
m
s
s
u
c
h
as
OC
R
w
o
r
d
s
p
o
ttin
g
an
d
in
d
e
x
atio
n
w
h
ic
h
ar
e
u
s
e
d
to
r
ec
o
g
n
is
e
all
ch
ar
ac
ter
s
o
n
th
e
d
o
cu
m
e
n
t.
Mo
s
t
o
f
t
h
e
m
e
n
tio
n
ed
s
y
s
te
m
s
ar
e
u
s
ed
to
d
ec
r
ea
s
e
th
e
q
u
an
tit
y
o
f
th
e
in
f
o
r
m
a
tio
n
p
r
esen
t
i
n
th
e
d
o
cu
m
e
n
t
an
d
f
o
cu
s
m
o
r
e
o
n
th
e
in
f
o
r
m
atio
n
o
r
th
e
d
ata
in
n
ee
d
.
I
n
ad
d
itio
n
,
th
e
p
er
f
o
r
m
a
n
c
e
o
f
th
e
d
o
cu
m
e
n
t
an
a
l
y
s
is
s
y
s
te
m
s
s
u
ch
as
O
C
R
d
ep
en
d
s
o
n
th
e
al
g
o
r
ith
m
o
f
th
e
b
in
ar
i
s
ati
o
n
,
w
h
ic
h
m
ea
n
s
t
h
at
t
h
e
b
in
ar
i
s
atio
n
m
u
s
t
b
e
p
er
f
o
r
m
ed
as
ac
cu
r
atel
y
as
p
o
s
s
ib
le
[
7
]
.
I
n
ad
d
itio
n
,
th
e
ev
al
u
atio
n
was
test
ed
o
n
t
w
elv
e
b
i
n
ar
is
at
io
n
alg
o
r
ith
m
s
f
o
r
d
if
f
er
e
n
t
o
ld
A
r
ab
ic
s
cr
ip
ts
.
B
in
ar
is
atio
n
f
o
r
t
h
e
g
r
a
y
-
le
v
el
d
o
cu
m
e
n
ts
ca
n
b
e
clas
s
if
i
ed
in
to
t
w
o
g
r
o
u
p
s
w
h
ic
h
ar
e
g
lo
b
al
th
r
esh
o
ld
in
g
an
d
lo
ca
l
th
r
esh
o
ld
in
g
.
Fo
r
th
e
g
lo
b
al
th
r
esh
o
ld
in
g
,
o
n
e
th
r
e
s
h
o
ld
in
g
is
u
s
ed
in
th
e
e
n
tire
i
m
ag
e
in
o
r
d
er
to
s
ep
ar
ate
it
in
to
t
w
o
clas
s
es
w
h
ich
ar
e
tex
t
an
d
b
ac
k
g
r
o
u
n
d
.
On
t
h
e
o
th
er
h
an
d
,
f
o
r
lo
ca
l
th
r
esh
o
ld
i
n
g
,
t
h
e
t
h
r
esh
o
ld
v
al
u
es
ar
e
lo
ca
ted
lo
ca
ll
y
as
p
i
x
el
b
y
p
ix
el
o
r
r
eg
i
o
n
b
y
r
eg
io
n
.
I
n
[
8
]
ev
alu
a
tio
n
o
f
b
in
ar
is
a
tio
n
te
ch
n
iq
u
es
is
p
r
esen
ted
.
T
h
e
ev
alu
a
tio
n
w
as
test
ed
o
n
a
s
et
o
f
g
r
a
y
-
le
v
el
h
an
d
w
r
itte
n
a
n
d
m
ac
h
in
e
p
r
i
n
t
ed
i
m
ag
e
s
.
T
h
e
b
in
ar
is
atio
n
te
ch
n
iq
u
es
w
er
e
u
s
ed
f
o
r
th
e
te
s
tin
g
as
f
o
llo
w
s
:
(
1
)
Ots
u
’
s
m
et
h
o
d
,
(
2
)
Be
r
n
s
en
’
s
m
eth
o
d
,
(
3
)
Nib
lack
’
s
m
et
h
o
d
,
(
4
)
Sau
v
o
la’
s
m
et
h
o
d
,
(
5
)
A
d
ap
tiv
e
L
o
g
ica
l
m
et
h
o
d
,
(
6
)
A
d
ap
tiv
e
Deg
r
ad
ed
Do
cu
m
e
n
t
m
e
th
o
d
.
[
9
]
P
r
o
p
o
s
ed
a
f
r
am
e
w
o
r
k
th
at
w
a
s
u
s
ed
i
n
o
r
d
er
to
p
r
o
d
u
ce
b
etter
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
b
in
ar
i
s
atio
n
tech
n
iq
u
es
co
m
b
i
n
atio
n
.
T
h
e
f
r
a
m
e
w
o
r
k
s
ep
ar
ates
th
e
in
p
u
t
i
m
a
g
e
p
ix
els
to
t
h
r
ee
g
r
o
u
p
s
na
m
el
y
as
f
o
r
e
g
r
o
u
n
d
p
ix
els
,
b
ac
k
g
r
o
u
n
d
p
ix
el
s
,
u
n
ce
r
tai
n
p
ix
el
s
.
T
h
e
s
ep
ar
atio
n
o
f
th
e
p
ix
els
i
s
b
ased
o
n
th
e
b
in
ar
y
o
u
tco
m
es
o
f
th
e
g
iv
e
n
d
o
cu
m
e
n
t
b
in
ar
is
atio
n
m
e
th
o
d
s
.
I
n
ad
d
itio
n
,
class
i
f
ier
w
a
s
ap
p
lied
in
o
r
d
er
to
ca
teg
o
r
ize
th
e
u
n
ce
r
tai
n
p
i
x
els
i
n
to
f
o
r
e
g
r
o
u
n
d
an
d
b
ac
k
g
r
o
u
n
d
.
I
n
[
5
]
A
r
ab
ic
w
o
r
d
r
ec
o
g
n
itio
n
s
y
s
te
m
is
p
r
o
p
o
s
ed
f
o
r
th
e
o
f
f
-
li
n
e
te
x
t,
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
ca
n
b
e
u
s
ed
f
o
r
ex
tr
ac
ti
n
g
A
r
ab
ic
ch
ar
ac
ter
w
it
h
h
ig
h
le
v
el
o
f
ac
c
u
r
ac
y
b
y
p
r
o
ce
s
s
i
n
g
th
e
c
h
ar
ac
ter
w
it
h
b
in
ar
iza
tio
n
an
d
n
o
is
e
r
e
m
o
v
al.
3
.
2
.
Sk
ew
Co
rr
ec
t
io
n T
ec
hn
iqu
e
s
f
o
r
H
a
nd
w
rit
t
en
Scri
pts
Ma
n
y
s
tu
d
ie
s
r
eg
ar
d
th
e
tech
n
iq
u
e
s
th
at
ar
e
u
s
ed
b
y
s
o
m
e
r
esear
ch
er
s
in
t
h
e
p
r
ep
r
o
ce
s
s
in
g
s
tag
e.
Mo
r
eo
v
er
,
th
ese
tech
n
iq
u
e
s
ar
e
u
s
ed
in
o
r
d
er
to
f
ir
s
t
d
etec
t
th
e
s
k
e
w
n
e
s
s
t
h
at
m
ig
h
t
b
e
in
th
e
s
ca
n
n
ed
d
o
cu
m
en
t
d
u
e
to
s
o
m
e
o
th
er
f
ac
to
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s
,
a
n
d
th
e
n
m
a
k
e
t
h
e
co
r
r
ec
tio
n
o
f
t
h
at
s
k
e
w
.
Ma
n
y
r
esear
ch
es
h
ad
b
ee
n
p
u
b
lis
h
ed
f
o
r
esti
m
ati
n
g
th
e
s
k
e
w
a
n
g
le
o
f
t
h
e
d
o
cu
m
en
ts
u
s
i
n
g
s
o
m
e
tech
n
iq
u
e
s
.
[
1
2
]
Gr
o
u
p
ed
th
e
m
o
s
t
u
s
ed
tech
n
iq
u
es
f
o
r
s
k
e
w
d
ete
ctio
n
as P
r
o
j
ec
tio
n
P
r
o
f
ile
An
al
y
s
i
s
,
Ho
u
g
h
T
r
an
s
f
o
r
m
,
an
d
Nea
r
est Ne
ig
h
b
o
u
r
.
Fig
u
r
e
3
.
B
asic sk
e
w
a
n
g
le
[
1
0
]
Sk
e
w
an
g
le
t
h
at
is
f
o
u
n
d
in
b
et
w
ee
n
th
e
t
w
o
lin
es
as
i
n
Fig
u
r
e
3
.
I
n
g
en
er
al,
d
o
cu
m
e
n
ts
i
n
th
e
n
o
r
m
al
f
o
r
m
h
a
v
e
t
h
e
s
k
e
w
a
n
g
le
o
f
ze
r
o
.
Ho
w
ev
er
,
w
h
ile
s
ca
n
n
i
n
g
th
e
d
o
cu
m
e
n
t
s
a
n
d
d
u
e
to
s
o
m
e
o
th
e
r
f
ac
to
r
s
,
a
s
k
e
w
an
g
le
th
a
t
is
g
r
ea
ter
th
an
ze
r
o
co
m
e
s
u
p
.
S
k
e
w
d
etec
t
io
n
an
d
co
r
r
ec
tio
n
ar
e
r
eq
u
ir
ed
in
th
is
ca
s
e.
Mo
r
eo
v
er
,
s
k
e
w
d
etec
ti
o
n
tak
e
s
p
lace
i
n
th
e
p
r
ep
r
o
c
ess
i
n
g
s
tep
.
Se
v
er
al
m
et
h
o
d
s
o
r
tech
n
iq
u
es
h
a
v
e
b
ee
n
u
s
ed
to
d
etec
t
th
e
s
k
e
w
an
d
co
r
r
ec
t
it.
I
n
[
1
1
]
th
r
ee
g
r
o
u
p
s
o
f
s
k
e
w
d
etec
tio
n
n
a
m
el
y
as
p
r
o
j
ec
t
p
r
o
f
ile,
Ho
u
g
h
tr
an
s
f
o
r
m
,
a
n
d
n
ea
r
e
s
t
n
ei
g
h
b
o
u
r
clu
s
ter
i
n
g
.
[
1
3
]
E
v
alu
atio
n
f
o
r
th
e
m
o
s
t
u
s
ed
s
k
e
w
d
etec
t
io
n
tech
n
iq
u
es
n
a
m
el
y
a
s
(
1
)
P
r
o
jectio
n
P
r
o
f
ile
An
al
y
s
i
s
T
ec
h
n
i
q
u
e
(
2
)
Ho
u
g
h
T
r
an
s
f
o
r
m
T
ec
h
n
iq
u
e
(
3
)
Nea
r
est
Neig
h
b
o
u
r
T
ec
h
n
iq
u
e.
T
h
e
ev
alu
at
io
n
r
es
u
lt
s
tated
n
ea
r
est
n
ei
g
h
b
o
u
r
tec
h
n
iq
u
e
w
a
s
t
h
e
f
aste
s
t
tec
h
n
iq
u
e
a
m
o
n
g
th
e
m
w
it
h
th
e
r
esp
ec
t
o
f
s
p
ee
d
,
b
u
t
it
s
ac
cu
r
ac
y
esti
m
atio
n
ev
a
lu
atio
n
w
as
p
o
o
r
co
m
p
ar
ed
to
o
th
er
tech
n
iq
u
es.
P
r
o
j
ec
tio
n
p
r
o
f
ile
tech
n
iq
u
e
co
n
s
id
er
ed
a
s
th
e
b
est
an
g
le
esti
m
atio
n
w
it
h
t
h
e
r
esp
ec
t
o
f
ac
cu
r
ac
y
,
b
u
t
its
p
r
o
ce
s
s
ti
m
e
w
as
t
h
e
lo
n
g
es
t.
I
n
[
1
2
]
a
n
o
v
el
s
k
e
w
d
etec
tio
n
ap
p
r
o
ac
h
is
p
r
o
p
o
s
ed
.
T
h
e
ai
m
o
f
t
h
e
ap
p
r
o
ac
h
is
to
e
n
h
an
ce
q
u
alit
y
a
n
d
ac
c
u
r
ac
ies o
f
o
p
tical
ch
ar
ac
ter
r
ec
o
g
n
itio
n
s
y
s
te
m
s
.
T
h
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
co
n
s
is
t
s
o
f
f
o
u
r
s
ta
g
es
n
a
m
ed
a
s
(
1
)
Dete
ct
lin
e
s
i
n
R
e
g
io
n
o
f
I
n
ter
es
t (
R
o
I
)
,
(
2
)
Fin
d
an
g
le
s
o
f
d
ete
cted
lin
es
,
(
3
)
Fi
n
d
th
e
e
x
ac
t
s
k
e
w
a
n
g
le
f
r
o
m
d
etec
ted
lin
es
,
(
4
)
De
-
s
k
e
w
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i
m
a
g
e
an
d
r
o
tate
t
h
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T
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p
r
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t
h
e
i
m
a
g
e
w
ith
r
e
s
p
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t
to
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k
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t.
3
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3
.
Cla
s
s
if
ica
t
io
n o
f
Sk
ew
Co
rr
ec
t
io
n T
ec
hn
iq
ues
B
ased
o
n
liter
atu
r
e
r
ev
ie
w
,
a
s
u
m
m
ar
y
f
o
r
all
t
h
e
tech
n
iq
u
e
s
th
at
m
ig
h
t b
e
u
s
ed
f
o
r
s
k
e
w
co
r
r
ec
tio
n
as in
Fi
g
u
r
e
4
.
Fig
u
r
e
4
.
C
lass
if
ica
tio
n
o
f
s
k
e
w
d
ete
ctio
n
a
n
d
co
r
r
ec
tio
n
tech
n
iq
u
es
3
.
3
.
1
P
ro
j
ec
t
io
n P
ro
f
ile
Ana
ly
s
is
(
P
P
)
P
r
o
j
ec
tio
n
p
r
o
f
ile
tech
n
iq
u
es
w
a
s
p
r
o
p
o
s
ed
b
y
P
o
s
tl
[
1
3
]
in
1
9
8
6
.
I
t
is
co
n
s
id
er
ed
as
o
n
e
o
f
t
h
e
m
o
s
t
u
s
ed
m
et
h
o
d
s
f
o
r
d
etec
tin
g
t
h
e
s
k
e
w
o
f
th
e
i
m
a
g
e
d
o
cu
m
en
ts
an
d
co
r
r
ec
t
it.
T
h
e
ter
m
p
r
o
j
ec
tio
n
in
th
is
m
et
h
o
d
m
ea
n
s
th
e
w
a
y
i
n
wh
ich
t
h
e
b
in
ar
y
i
m
a
g
e
f
o
r
m
i
s
co
n
v
er
ted
in
to
a
o
n
e
-
d
i
m
en
s
io
n
al
ar
r
a
y
ca
lled
p
r
o
j
ec
tio
n
p
r
o
f
ile.
Mo
r
eo
v
er
,
th
e
n
u
m
b
er
o
f
li
n
es
lo
ca
te
d
in
t
h
e
d
o
cu
m
e
n
t
i
m
a
g
e
ca
n
b
e
ca
lled
a
s
t
h
e
h
o
r
izo
n
tal
p
r
o
j
ec
tio
n
p
r
o
f
ile,
w
h
er
e
ea
ch
li
n
e
o
f
t
h
ese
li
n
es
in
th
e
p
r
o
j
ec
tio
n
p
r
o
f
ile
f
o
r
m
co
n
s
is
t
s
o
f
v
a
l
u
e
s
th
at
r
ep
r
ese
n
t
t
h
e
n
u
m
b
er
o
f
th
e
b
lac
k
p
ix
e
ls
f
o
r
t
h
e
r
o
w
lin
e
o
f
t
h
e
d
o
cu
m
e
n
t
i
m
a
g
e.
I
n
[
1
4
]
p
r
o
j
ec
tio
n
p
r
o
f
ile
is
o
n
e
o
f
t
h
e
m
o
s
t
f
a
m
o
u
s
m
et
h
o
d
s
f
o
r
s
k
e
w
d
ete
ctio
n
a
n
d
co
r
r
ec
tio
n
w
i
th
th
e
u
s
e
o
f
h
o
r
izo
n
tal
p
r
o
j
ec
tio
n
p
r
o
f
ile
o
f
th
e
s
k
e
wed
d
o
cu
m
e
n
t
i
m
a
g
e
as
m
o
s
t
o
f
d
o
cu
m
e
n
t
i
m
a
g
es
co
n
s
is
t
o
f
h
o
r
izo
n
tal
li
n
es
a
n
d
ea
ch
o
f
th
e
s
e
lin
e
s
is
th
e
s
u
m
o
f
p
ix
el
s
as
m
e
n
tio
n
ed
.
I
n
[
1
5
]
a
m
et
h
o
d
w
as
p
r
o
p
o
s
ed
b
ased
o
n
p
r
o
j
ec
tio
n
p
r
o
f
ile
an
al
y
s
i
s
.
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
i
n
t
h
is
p
ap
er
co
m
b
in
ed
Fas
t
Fo
u
r
ier
T
r
an
s
f
o
r
m
(
FT
T
)
w
it
h
t
h
e
p
r
o
j
ec
tio
n
p
r
o
f
iles
m
et
h
o
d
in
o
r
d
er
to
elim
in
ate
t
h
e
s
k
e
w
in
th
e
d
o
cu
m
e
n
t
i
m
a
g
e;
p
r
o
j
ec
ti
o
n
p
r
o
f
ile
a
n
al
y
s
i
s
w
a
s
ap
p
lied
in
o
r
d
er
to
e
s
tim
ate
th
e
s
k
e
w
o
f
t
h
e
f
ab
r
ic
i
m
a
g
e,
FT
T
m
et
h
o
d
w
a
s
th
e
n
ap
p
lied
in
o
r
d
er
to
g
et
th
e
p
o
w
er
s
p
ec
tr
u
m
w
h
ic
h
h
elp
ed
to
ex
tr
ac
t
th
e
p
ea
k
s
o
f
p
r
o
j
ec
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[
2
4
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,
th
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Ho
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[
2
5
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I
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[
2
6
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2
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a
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y
o
u
t
A
n
a
l
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sis,”
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ra
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s.
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a
tt
e
rn
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n
a
l.
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a
c
h
.
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tell.
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l.
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o
.
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1
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p
.
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1
6
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1
7
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,
1
9
9
3
.
[1
2
]
R.
A
h
m
a
d
,
M
.
Z.
Af
z
a
l,
S
.
F
.
Ra
sh
id
,
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.
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iw
ick
i,
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.
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u
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a
n
d
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.
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n
g
e
l,
“
A
No
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k
e
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ro
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c
a
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e
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c
u
m
e
n
ts,
”
DA
S
.
IA
P
R
In
t.
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o
rk
.
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.
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n
a
l.
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y
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A
S
-
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2
),
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o
.
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p
.
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–
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,
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0
1
6
.
[1
3
]
W
.
P
o
st
l,
“
De
tec
ti
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o
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li
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e
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e
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u
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a
n
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ig
it
ize
d
d
o
c
u
m
e
n
ts,
”
v
o
l.
1
,
1
9
8
6
.
[1
4
]
S
.
L
i,
Q.
S
h
e
n
,
a
n
d
J.
S
u
n
,
“
S
k
e
w
d
e
tec
ti
o
n
u
sin
g
w
a
v
e
let
d
e
c
o
m
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o
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o
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a
n
d
p
r
o
jec
ti
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p
ro
f
il
e
a
n
a
l
y
sis,”
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a
tt
e
r
n
Re
c
o
g
n
it
.
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e
tt
.
,
v
o
l.
2
8
,
n
o
.
5
,
p
p
.
5
5
5
–
5
6
2
,
2
0
0
7
.
[1
5
]
J.
Jin
g
,
P
.
Ha
o
,
P
.
L
i,
L
.
Zh
a
n
g
,
a
n
d
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Z
h
a
n
g
,
“
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k
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rre
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n
sity
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o
f
Kn
it
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d
a
n
d
W
o
v
e
n
F
a
b
ric,” J.
F
i
b
e
r
Bio
e
n
g
.
In
f
o
rm
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t
ics
,
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o
l.
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,
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o
.
1
,
p
p
.
5
3
–
6
1
,
2
0
1
6
.
[1
6
]
J.
Ka
n
a
i
a
n
d
A
.
D.Ba
g
a
n
o
v
,
“
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ro
jec
ti
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n
P
ro
f
il
e
b
a
se
d
sk
e
w
e
sti
m
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ti
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n
a
lg
o
rit
h
m
f
o
r
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c
o
m
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re
ss
e
d
i
m
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g
e
s,”
v
o
l.
9
0
1
4
,
p
p
.
4
–
8
,
1
9
9
7
.
[1
7
]
B.
Ja
in
a
n
d
M
.
B
o
ra
h
,
“
A
Co
m
p
a
riso
n
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a
p
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o
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k
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te
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ti
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o
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m
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g
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se
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o
n
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rizo
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tal
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n
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e
rti
c
a
l,
”
I
n
t.
J.
S
c
i.
Re
s.
P
u
b
l.
,
v
o
l.
4
,
n
o
.
6
,
p
p
.
1
–
4
,
2
0
1
4
.
[1
8
]
R.
Du
d
a
a
n
d
P
.
Ha
rt,
“
Us
e
o
f
th
e
Ho
u
g
h
T
ra
n
sf
o
r
m
a
ti
o
n
T
o
De
tec
t
L
in
e
s an
d
Cu
rv
e
s in
P
ictu
re
s,”
1
9
7
2
.
[1
9
]
D.
Ba
ll
a
rd
,
“
G
e
n
e
ra
li
z
in
g
T
h
e
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u
g
h
T
ra
n
sf
o
m
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o
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te
c
t
A
rb
it
ra
r
y
S
h
a
p
e
s,” v
o
l.
1
2
,
n
o
.
S
EM
V
,
p
p
.
1
–
3
,
1
9
8
0
.
[2
0
]
C.
S
in
g
h
,
N.
Bh
a
ti
a
,
a
n
d
A
.
Ka
u
r,
“
Ho
u
g
h
tran
sf
o
rm
b
a
se
d
f
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st
sk
e
w
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e
tec
ti
o
n
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n
d
a
c
c
u
ra
te
sk
e
w
c
o
rre
c
ti
o
n
m
e
th
o
d
s,”
P
a
tt
e
r
n
Re
c
o
g
n
it
.
,
v
o
l.
4
1
,
n
o
.
1
2
,
p
p
.
3
5
2
8
–
3
5
4
6
,
2
0
0
8
.
[2
1
]
H.
Jia
n
g
,
C.
-
C.
Ha
n
,
a
n
d
K.
F
a
n
,
“
A
f
a
st
a
p
p
ro
a
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to
t
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e
d
e
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ti
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n
d
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o
rre
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ti
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o
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e
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o
c
u
m
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n
ts,
”
P
a
tt
e
r
n
Re
c
o
g
n
it
.
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e
tt
.
,
v
o
l.
1
8
,
p
p
.
6
7
5
–
6
8
6
,
1
9
9
7
.
[2
2
]
L
.
L
ik
f
o
r
m
a
n
-
S
u
le
m
,
A
.
Ha
n
imy
a
n
,
a
n
d
C.
F
a
u
re
,
“
A
Ho
u
g
h
b
a
se
d
a
lg
o
rit
h
m
f
o
r
e
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trac
ti
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g
tex
t
li
n
e
s
in
h
a
n
d
w
rit
ten
Do
c
u
m
e
n
ts,
”
P
ro
c
.
3
rd
In
t
.
Co
n
f
.
Do
c
.
A
n
a
l.
Re
c
o
g
n
it
.
,
v
o
l.
2
,
p
p
.
7
7
4
–
7
7
7
,
1
9
9
5
.
[2
3
]
S
.
C.
Hin
d
s,
J.
L
.
F
ish
e
r,
a
n
d
D.
P
.
D.
Am
a
to
,
“
A
DO
c
u
m
e
n
t
S
k
e
w
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tec
ti
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n
M
e
th
o
d
Us
in
g
Ru
n
-
L
e
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g
th
En
c
o
d
in
g
A
n
d
T
h
e
Ho
u
g
h
T
ra
n
sf
o
r
m
,
”
p
p
.
4
6
4
–
4
6
8
,
1
9
9
0
.
[2
4
]
S
.
N.
S
rih
a
ri
a
n
d
V.
G
o
v
in
d
a
ra
ju
,
“
A
n
a
l
y
sis
o
f
te
x
tu
a
l
i
m
a
g
e
s
u
sin
g
th
e
Ho
u
g
h
tran
sf
o
r
m
,
”
M
a
c
h
.
V
is.
A
p
p
l.
,
v
o
l
.
2
,
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o
.
3
,
p
p
.
1
4
1
–
1
5
3
,
1
9
8
9
.
[2
5
]
A
.
Ha
sh
izu
m
e
,
P
.
S
.
Ye
h
,
a
n
d
A
.
Ro
se
n
f
e
ld
,
“
A
m
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o
d
o
f
d
e
tec
ti
n
g
th
e
o
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tati
o
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o
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li
g
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e
d
c
o
m
p
o
n
e
n
ts,
”
P
a
tt
e
r
n
Re
c
o
g
n
it
.
L
e
tt
.
,
v
o
l.
4
,
n
o
.
2
,
p
p
.
1
2
5
–
1
3
2
,
1
9
8
6
.
[2
6
]
X
.
Jia
n
g
,
H
.
Bu
n
k
e
,
a
n
d
D.
W
id
m
e
r
-
Kljajo
,
“
S
k
e
w
d
e
tec
ti
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n
o
f
d
o
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u
m
e
n
t
im
a
g
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s
b
y
f
o
c
u
se
d
n
e
a
re
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n
e
ig
h
b
o
r
c
lu
ste
rin
g
,
”
P
ro
c
.
I
n
t.
Co
n
f
.
Do
c
.
A
n
a
l.
Re
c
o
g
n
it
io
n
,
ICDA
R,
p
p
.
6
3
3
–
6
3
6
,
1
9
9
9
.
[2
7
]
Y.
L
u
a
n
d
C.
L
.
T
a
n
,
“
Im
p
ro
v
e
d
n
e
a
re
st n
e
ig
h
b
o
r
b
a
se
d
a
p
p
r
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h
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o
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c
c
u
ra
te d
o
c
u
m
e
n
t
sk
e
w
e
sti
m
a
ti
o
n
,
”
P
ro
c
.
I
n
t.
Co
n
f
.
Do
c
.
A
n
a
l.
Re
c
o
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it
i
o
n
,
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DA
R,
v
o
l.
2
0
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-
Ja
n
u
a
,
p
p
.
5
0
3
–
5
0
7
,
2
0
0
3
.
[2
8
]
A
.
S
e
h
a
d
,
L
.
M
e
z
a
i,
M
.
T
.
Las
k
ri,
a
n
d
M
.
Ch
e
riet,
“
S
k
e
w
a
n
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le
e
sti
m
a
ti
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rin
ted
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o
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m
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u
sin
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li
n
e
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r
re
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re
ss
io
n
,
w
a
v
e
let
tran
sf
o
r
m
a
n
d
a
n
is
o
tro
p
ic
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if
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u
sio
n
,
”
2
0
0
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9
th
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n
t.
S
y
m
p
.
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ig
n
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ro
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it
s
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p
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0
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,
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ro
c
.
,
p
p
.
3
–
6
,
2
0
0
7
.
[2
9
]
A
.
M
.
A
l
-
S
h
a
tn
a
w
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a
n
d
K.
O
m
a
r,
“
S
k
e
w
De
te
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ti
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rre
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ra
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ic
Do
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u
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m
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B
a
se
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o
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Ce
n
tre
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f
G
r
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it
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tallah
M
a
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tn
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Om
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a
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e
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h
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,
”
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.
Co
mp
u
t
.
S
c
i
.
,
v
o
l.
5
,
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o
.
5
,
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p
.
3
6
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–
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8
,
2
0
0
9
.
[3
0
]
K.
O
m
a
r,
A
.
R.
Ra
m
li
,
R.
M
a
h
m
o
d
,
a
n
d
M
.
N.
S
u
laim
a
n
,
“
S
k
e
w
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tec
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a
n
d
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rre
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ti
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f
Ja
w
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Im
a
g
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s
Us
in
g
G
ra
d
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t
Dire
c
ti
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n
,
”
J.
T
e
k
n
o
l.
,
v
o
l.
3
7
,
n
o
.
1
,
p
p
.
1
1
7
–
1
2
6
,
2
0
0
2
.
[3
1
]
I.
A
h
m
a
d
,
“
A
tec
h
n
iq
u
e
f
o
r
sk
e
w
d
e
tec
ti
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n
o
f
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ri
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ra
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ic
d
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u
m
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ts,
”
P
ro
c
.
-
1
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h
I
n
t.
Co
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.
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m
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u
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ra
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.
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,
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is.
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1
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,
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p
.
6
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–
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7
,
2
0
1
3
.
[3
2
]
S
.
S
.
Ba
f
jaish
,
M
.
S
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n
u
si,
M
.
Na
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e
r,
A
.
R
a
m
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a
n
i,
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n
d
H.
M
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h
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i
n
,
“
S
k
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t
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ra
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rip
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ra
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rm
,
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In
t.
J
.
Ad
v
.
Co
mp
u
t.
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i.
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p
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,
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o
l.
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o
.
8
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p
p
.
4
0
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–
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0
9
,
2
0
1
8
.
[3
3
]
F
.
Ka
s
m
in
,
Z.
Oth
m
a
n
,
S
.
S
a
k
in
a
h
,
a
n
d
S
.
A
h
m
a
d
,
“
P
ix
e
l
-
w
ise
c
las
si
f
ica
ti
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u
sin
g
su
p
p
o
rt
v
e
c
to
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m
a
c
h
in
e
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o
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in
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riza
ti
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e
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ra
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e
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h
isto
rica
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o
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v
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1
5
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n
o
.
3
,
p
p
.
1
3
2
9
–
1
3
3
6
,
2
0
1
9
.
Evaluation Warning : The document was created with Spire.PDF for Python.
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a
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z
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b
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M
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a
n
d
2
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3
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jo
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p
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w
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k
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ik
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l
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in
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ss
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it
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ter
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ro
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la
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a
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M
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re
se
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rc
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l
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se
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m
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in
sid
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r
t
h
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ts,
m
a
c
h
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rn
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g
,
a
n
d
im
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g
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P
ro
c
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ss
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g
.
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h
m
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d
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b
d
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ll
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d
h
is
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c
in
Co
m
p
u
ter
S
c
ien
c
e
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tab
a
se
M
a
n
g
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m
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n
t
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y
ste
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in
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0
1
7
a
n
d
M
S
c
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n
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m
p
u
ter
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ien
c
e
(S
o
f
twa
re
En
g
in
e
e
rin
g
a
n
d
In
telli
g
e
n
t)
f
ro
m
th
e
Un
iv
e
rsiti
T
e
k
n
ik
a
l
M
a
la
y
si
a
M
e
lak
a
(UTe
M
)
in
2
0
1
9
.
His
re
se
a
rc
h
in
tres
ts
in
c
lu
d
e
im
a
g
e
p
ro
c
e
ss
in
g
,
im
a
g
e
se
g
m
e
n
tatio
n
,
c
o
m
p
u
ter v
isio
n
sy
ste
m
s.
Evaluation Warning : The document was created with Spire.PDF for Python.