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社区首页 >问答首页 >如何以表格格式从发票中提取数据

如何以表格格式从发票中提取数据
EN

Stack Overflow用户
提问于 2020-04-17 14:52:34
回答 1查看 5.3K关注 0票数 4

我正在尝试从pdf/image发票中提取数据,使用的是基于pytesseract的光学字符识别的计算机vision.For。这是发票样本

你可以在下面找到相同的代码

代码语言:javascript
复制
import pytesseract


img = Image.open("invoice-sample.jpg")

text = pytesseract.image_to_string(img)

print(text)

通过使用pytesseract,我得到了以下输出

代码语言:javascript
复制
http://mrsinvoice.com

 

’ Invoice

Your Company LLC Address 123, State, My Country P 111-222-333, F 111-222-334


BILLTO:

fofin Oe Invoice # 00001

Alpha Bravo Road 33 Invoice Date 32/12/2001

P: 111-292-333, F: 111-222-334

client@example.net Nomecof Reps Bob
Contact Phone 101-102-103

SHIPPING TO:

eine ce Payment Terms ash on Delivery

Office Road 38
P: 111-333-222, F: 122-222-334 Amount Due: $4,170
office@example.net

NO PRODUCTS / SERVICE QUANTITY / RATE / UNIT AMOUNT
HOURS: PRICE

1 tye 2 $20 $40

2__| Steering Wheel 5 $10 $50

3 | Engine oil 10 $15 $150

4 | Brake Pad 24 $1000 $2,400

Subtotal $275

Tax (10%) $27.5

Grand Total $202.5

‘THANK YOU FOR YOUR BUSINESS

但问题是,我想提取文本,并将其分成不同的部分,如供应商名称,发票编号,项目名称和项目数量。预期输出

代码语言:javascript
复制
{'date': (2014, 6, 4), 'invoice_number': 'EUVINS1-OF5-DE-120725895', 'amount': 35.24, 'desc': 'Invoice EUVINS1-OF5-DE-120725895 from Amazon EU'}

我也尝试过invoice2data python库,但它仍然有很多限制。我还分别尝试了regex和opencv的精明边缘检测来检测文本框,但没有达到预期的结果

你们能帮帮我吗

EN

回答 1

Stack Overflow用户

发布于 2020-04-19 19:56:50

您必须进行更多处理,特别是因为收单方和收货方与发票表不一致。但是您可以使用以下代码作为基础。

代码语言:javascript
复制
import cv2
import pytesseract
from pytesseract import Output
import pandas as pd

img = cv2.imread("aF0Dc.jpg")
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1]

custom_config = r'-l eng --oem 1 --psm 6 '
d = pytesseract.image_to_data(thresh, config=custom_config, output_type=Output.DICT)
df = pd.DataFrame(d)

df1 = df[(df.conf != '-1') & (df.text != ' ') & (df.text != '')]
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)

sorted_blocks = df1.groupby('block_num').first().sort_values('top').index.tolist()
for block in sorted_blocks:
    curr = df1[df1['block_num'] == block]
    sel = curr[curr.text.str.len() > 3]
    # sel = curr
    char_w = (sel.width / sel.text.str.len()).mean()
    prev_par, prev_line, prev_left = 0, 0, 0
    text = ''
    for ix, ln in curr.iterrows():
        # add new line when necessary
        if prev_par != ln['par_num']:
            text += '\n'
            prev_par = ln['par_num']
            prev_line = ln['line_num']
            prev_left = 0
        elif prev_line != ln['line_num']:
            text += '\n'
            prev_line = ln['line_num']
            prev_left = 0

        added = 0  # num of spaces that should be added
        if ln['left'] / char_w > prev_left + 1:
            added = int((ln['left']) / char_w) - prev_left
            text += ' ' * added
        text += ln['text'] + ' '
        prev_left += len(ln['text']) + added + 1
    text += '\n'
    print(text)

结果

代码语言:javascript
复制
                                                                                             bhttps//mrsinvoice.com 
                                                                                                  Lp 
                  I                                                                              | 
        Your Company LLC Address 123, State, My Country P 111-222-333, F 111-222-334 
        BILL TO: 
        P: 111-222-333, F: 111-222-334                          m                              . 
        dlent@ccomplent 
                                                          Contact Phone                  101-102-103 
        john Doe office                                   ayment  Terms                  ash on Delivery 
        Office Road 38 
        P: 111-833-222, F: 122-222-334                            Amount     Due:   $4,170 
        office@example.net 
          NO  PRODUCTS  / SERVICE                                   QUANTITY  /   RATE / UNIT       AMOUNT 
                                                                        HOURS,         PRICE 
         1  | tyre                                                           2           $20             $40 
         2  | Steering Wheet                                                 5          $10              $50 
         3  | Engine ol                                                     40          $15             $150 
         4  | Brake Pad                                                     2a         $1000          $2,400 
                                                                                     Subtotal           $275 
                                                                                    Tax (10%)          $275 
                                                                                  Grand Total         $302.5 
                                            ‘THANK YOU  FOR YOUR BUSINESS 
票数 4
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/61265666

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