Python Image performs grayscale and binary processing on the verification code and removes the border

def
binarizing(
img,
threashold):


img
=
img.
convert(
"L")
# 轉灰度


pixdata
=
img.
load()


w,
h
=
img.
size


for
y
in
range(
h):


for
x
in
range(
w):


if
pixdata[
x,
y]
<
threashold:


pixdata[
x,
y]
=
0


else:


pixdata[
x,
y]
=
255


return
img


def
removeFrame(
img,
width):


'''


 :param img:


 :param width: 邊框的寬度


 :return:


 '''


w,
h
=
img.
size


pixdata
=
img.
load()


for
x
in
range(
width):


for
y
in
range(
0,
h):


pixdata[
x,
y]
=
255


for
x
in
range(
w
-
width,
w):


for
y
in
range(
0,
h):


pixdata[
x,
y]
=
255


for
x
in
range(
0,
w):


for
y
in
range(
0,
width):


pixdata[
x,
y]
=
255


for
x
in
range(
0,
w):


for
y
in
range(
h
-
width,
h):


pixdata[
x,
y]
=
255


return
img


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處理後的結果

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​ ​ http://www.waitingfy.com/archives/3796​​