pdf处理

pdf处理/program/discern.py

@@ -1,6 +1,7 @@
 import image_compare
 import pandas as pd
 import pdfplumber
+from image_text_ocr import ImageTextOcr
 import os
 import cv2
 
@@ -8,13 +9,13 @@ import cv2
 class Discern(object):
 
     def __init__(self):
+        self.image_text_ocr = ImageTextOcr()
         self.xlsx_keys = {}
-        self.xlsx_keys_list = []
         self.num = 0
 
     def export_excel(self, export):
         # 将字典列表转换为DataFrame
-        pf = pd.DataFrame(list(export))
+        pf = pd.DataFrame(list([export]))
         file_path = pd.ExcelWriter('../docs/结果.xlsx')
         # 替换空单元格
         pf.fillna(' ', inplace=True)
@@ -59,17 +60,21 @@ class Discern(object):
                     with open(image_file, "wb") as f:
                         f.write(img['stream'].get_data())
 
-    def get_sign(self):
+    def get_images_text(self):
         for i in range(1, self.num + 1):
             try:
                 cma_flag = image_compare.run(f'../target_img/image_{i}.jpg', '../img/cma.jpg')
                 cnas_flag = image_compare.run(f'../target_img/image_{i}.jpg', '../img/cnas.jpg')
+                text_list = self.image_text_ocr.run(f'../target_img/image_{i}.jpg')
             except cv2.error as c:
                 pass
             if cma_flag:
                 self.xlsx_keys['标志'] = '国cma'
             if cnas_flag:
                 self.xlsx_keys['标志'] += ',cnas中文'
+            if text_list:
+                self.xlsx_keys['方案编号'] = text_list[0]
+                self.xlsx_keys['签发日期'] = text_list[1]
 
     def remove_file(self, folder_path):
         with os.scandir(folder_path) as entries:
@@ -102,9 +107,8 @@ class Discern(object):
                     self.xlsx_keys['文件名'] = file_name
                     self.pdf_text(file_path)
                     self.pdf_images(file_path)
-                    self.get_sign()
+                    self.get_images_text()
-                    self.xlsx_keys_list.append(self.xlsx_keys)
+        self.export_excel(self.xlsx_keys)
-        self.export_excel(self.xlsx_keys_list)
 
 
 if __name__ == '__main__':

pdf处理/program/image_ocr.py

@@ -1,9 +0,0 @@
-from PIL import Image
-import pytesseract
-
-# 加载图像
-image = Image.open('../target_img/image_7.jpg')
-# 列出支持的语言
-print(pytesseract.get_languages(config=''))
-text = pytesseract.image_to_string(image, lang='chi_sim')
-print(text)

pdf处理/program/image_text_ocr.py

@@ -0,0 +1,41 @@
+from PIL import Image
+import pytesseract
+import platform
+
+
+class ImageTextOcr(object):
+
+    def __init__(self):
+        current_os = platform.system()
+        if current_os == 'Windows':
+            pytesseract.pytesseract.tesseract_cmd = r'E:\pc\tesseract-ocr\tesseract.exe'
+            print("当前操作系统是 Windows")
+        elif current_os == 'Linux':
+            print("当前操作系统是 Ubuntu")
+        else:
+            print(f"当前操作系统是 {current_os}")
+
+    def image_text_ocr(self, path):
+        text_list = []
+        # 加载图像
+        image = Image.open(path)
+        result = pytesseract.image_to_string(image, lang='chi_sim', output_type=pytesseract.Output.STRING)
+        lines = result.split('\n')
+        for line in lines:
+            data_list = line.split(' ')
+            for data in data_list:
+                if '试验方案编号' in data:
+                    text_list.append(data_list[-1])
+                if '报告完成日期' in data:
+                    text_list.append(data_list[-1])
+        return text_list
+
+    def run(self, path):
+        text_list = self.image_text_ocr(path)
+        return text_list
+
+
+if __name__ == '__main__':
+    image_text_ocr = ImageTextOcr()
+    text_list = image_text_ocr.run('../target_img/image_7.jpg')
+    print(text_list)