配置需求
1.imagemagick
2.tesseract-OCR
3.Python3.7
4.from PIL import Image as PI
5.import io
立即学习“Python免费学习笔记（深入）”；
6.import os
7.import pyocr.builders
8.from cnocr import CnOcr
9.import xlwt
Android配合WebService访问远程数据库 中文WORD版
下载
采用HttpClient向服务器端action请求数据，当然调用服务器端方法获取数据并不止这一种。WebService也可以为我们提供所需数据，那么什么是webService呢？，它是一种基于SAOP协议的远程调用标准，通过webservice可以将不同操作系统平台，不同语言，不同技术整合到一起。 实现Android与服务器端数据交互，我们在PC机器java客户端中，需要一些库，比如XFire,Axis2,CXF等等来支持访问WebService，但是这些库并不适合我们资源有限的android手机客户端，
分析上图发现票据金额为“贰拾万元整”，数据金额为大写中文，因此在导入Excel之前我们需要将金额票据的数据转换成数字的格式，基于此，我们需要首先完成大写汉字和数字的转换。
def chineseNumber2Int(strNum: str):
result = 0
temp = 1 # 存放一个单位的数字如：十万
count = 0 # 判断是否有chArr
cnArr = ['壹', '贰', '叁', '肆', '伍', '陆', '柒', '捌', '玖']
chArr = ['拾', '佰', '仟', '万', '亿']
for i in range(len(strNum)):
b = True
c = strNum[i]
for j in range(len(cnArr)):
if c == cnArr[j]:
if count != 0:
result += temp
count = 0
temp = j + 1
b = False
break
if b:
for j in range(len(chArr)):
if c == chArr[j]:
if j == 0:
temp *= 10
elif j == 1:
temp *= 100
elif j == 2:
temp *= 1000
elif j == 3:
temp *= 10000
elif j == 4:
temp *= 100000000
count += 1
if i == len(strNum) - 1:
result += temp
return result通过上述代码即可实现大写字母与数字的转换，例如输入“贰拾万元整”即可导出“200000”，再将其转换成数字后即可极大地简化表格的操作，也可以在完成表格操作的同时有利于数据归档。
接下来，我们需要分析发票的内部内容，分析下图可知，我们需要获取以下几个数据内容：“出票日期”、“汇票到账日期”、“票据号码”、“收款人”、“票据金额”、“出票人”，可以通过画图软件获取精准定位。
如图，小黑点即鼠标所在地，画图软件左下角即他的坐标。
提取出票日期
def text1(new_img):
#提取出票日期
left = 80
top = 143
right = 162
bottom = 162
image_text1 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text1.show()
txt1 = tool.image_to_string(image_text1)
print(txt1)
return str(txt1)提取金额
def text2(new_img):
#提取金额
left = 224
top = 355
right = 585
bottom = 380
image_text2 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text2.show()
image_text2.save("img/tmp.png")
temp = ocr.ocr("img/tmp.png")
temp="".join(temp[0])
txt2=chineseNumber2Int(temp)
print(txt2)
return txt2提取出票人
def text3(new_img):
#提取出票人
left = 177
top = 207
right = 506
bottom = 231
image_text3 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text3.show()
image_text3.save("img/tmp.png")
temp = ocr.ocr("img/tmp.png")
txt3="".join(temp[0])
print(txt3)
return txt3提取付款行
def text4(new_img):
#提取付款行
left = 177
top = 274
right = 492
bottom = 311
image_text4 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text4.show()
image_text4.save("img/tmp.png")
temp = ocr.ocr("img/tmp.png")
txt4="".join(temp[0])
print(txt4)
return txt4提取汇票到账日期
def text5(new_img):
#提取汇票到日期
left = 92
top = 166
right = 176
bottom = 184
image_text5 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text5.show()
txt5 = tool.image_to_string(image_text5)
print(txt5)
return txt5提取票据单据
def text6(new_img):
#提取票据号码
left = 598
top = 166
right = 870
bottom = 182
image_text6 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text6.show()
txt6 = tool.image_to_string(image_text6)
print(txt6)
return txt6在将数据全部提取完成之后，即进入设置环节，我们需要首先将所有账单文件进行提取，获取他们的文件名和路径。
ocr=CnOcr()
tool = pyocr.get_available_tools()[0]
filePath='img'
img_name=[]
for i,j,name in os.walk(filePath):
img_name=name在获取完整后，即可进行数据导入Excel的操作。
count=1
book = xlwt.Workbook(encoding='utf-8',style_compression=0)
sheet = book.add_sheet('test',cell_overwrite_ok=True)
for i in img_name:
img_url = filePath+"/"+i
with open(img_url, 'rb') as f:
a = f.read()
new_img = PI.open(io.BytesIO(a))
## 写入csv
col = ('年份','出票日期','金额','出票人','付款行全称','汇票到日期','备注')
for j in range(0,7):
sheet.write(0,j,col[j])
book.save('1.csv')
shijian=text1(new_img)
sheet.write(count,0,shijian[0:4])
sheet.write(count,1,shijian[5:])
sheet.write(count,2,text2(new_img))
sheet.write(count,3,text3(new_img))
sheet.write(count,4,text4(new_img))
sheet.write(count,5,text5(new_img))
sheet.write(count,6,text6(new_img))
count = count + 1至此，完整流程结束。
附上源码全部
from wand.image import Image
from PIL import Image as PI
import pyocr
import io
import re
import os
import shutil
import pyocr.builders
from cnocr import CnOcr
import requests
import xlrd
import xlwt
from openpyxl import load_workbook
def chineseNumber2Int(strNum: str):
result = 0
temp = 1 # 存放一个单位的数字如：十万
count = 0 # 判断是否有chArr
cnArr = ['壹', '贰', '叁', '肆', '伍', '陆', '柒', '捌', '玖']
chArr = ['拾', '佰', '仟', '万', '亿']
for i in range(len(strNum)):
b = True
c = strNum[i]
for j in range(len(cnArr)):
if c == cnArr[j]:
if count != 0:
result += temp
count = 0
temp = j + 1
b = False
break
if b:
for j in range(len(chArr)):
if c == chArr[j]:
if j == 0:
temp *= 10
elif j == 1:
temp *= 100
elif j == 2:
temp *= 1000
elif j == 3:
temp *= 10000
elif j == 4:
temp *= 100000000
count += 1
if i == len(strNum) - 1:
result += temp
return result
def text1(new_img):
#提取出票日期
left = 80
top = 143
right = 162
bottom = 162
image_text1 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text1.show()
txt1 = tool.image_to_string(image_text1)
print(txt1)
return str(txt1)
def text2(new_img):
#提取金额
left = 224
top = 355
right = 585
bottom = 380
image_text2 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text2.show()
image_text2.save("img/tmp.png")
temp = ocr.ocr("img/tmp.png")
temp="".join(temp[0])
txt2=chineseNumber2Int(temp)
print(txt2)
return txt2
def text3(new_img):
#提取出票人
left = 177
top = 207
right = 506
bottom = 231
image_text3 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text3.show()
image_text3.save("img/tmp.png")
temp = ocr.ocr("img/tmp.png")
txt3="".join(temp[0])
print(txt3)
return txt3
def text4(new_img):
#提取付款行
left = 177
top = 274
right = 492
bottom = 311
image_text4 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text4.show()
image_text4.save("img/tmp.png")
temp = ocr.ocr("img/tmp.png")
txt4="".join(temp[0])
print(txt4)
return txt4
def text5(new_img):
#提取汇票到日期
left = 92
top = 166
right = 176
bottom = 184
image_text5 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text5.show()
txt5 = tool.image_to_string(image_text5)
print(txt5)
return txt5
def text6(new_img):
#提取票据号码
left = 598
top = 166
right = 870
bottom = 182
image_text6 = new_img.crop((left, top, right, bottom))
#展示图片
#image_text6.show()
txt6 = tool.image_to_string(image_text6)
print(txt6)
return txt6
ocr=CnOcr()
tool = pyocr.get_available_tools()[0]
filePath='img'
img_name=[]
for i,j,name in os.walk(filePath):
img_name=name
count=1
book = xlwt.Workbook(encoding='utf-8',style_compression=0)
sheet = book.add_sheet('test',cell_overwrite_ok=True)
for i in img_name:
img_url = filePath+"/"+i
with open(img_url, 'rb') as f:
a = f.read()
new_img = PI.open(io.BytesIO(a))
## 写入csv
col = ('年份','出票日期','金额','出票人','付款行全称','汇票到日期','备注')
for j in range(0,7):
sheet.write(0,j,col[j])
book.save('1.csv')
shijian=text1(new_img)
sheet.write(count,0,shijian[0:4])
sheet.write(count,1,shijian[5:])
sheet.write(count,2,text2(new_img))
sheet.write(count,3,text3(new_img))
sheet.write(count,4,text4(new_img))
sheet.write(count,5,text5(new_img))
sheet.write(count,6,text6(new_img))
count = count + 1 
