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20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | *.py,cover 51 | .hypothesis/ 52 | .pytest_cache/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | target/ 76 | 77 | # Jupyter Notebook 78 | .ipynb_checkpoints 79 | 80 | # IPython 81 | profile_default/ 82 | ipython_config.py 83 | 84 | # pyenv 85 | .python-version 86 | 87 | # pipenv 88 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 89 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 90 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 91 | # install all needed dependencies. 92 | #Pipfile.lock 93 | 94 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 95 | __pypackages__/ 96 | 97 | # Celery stuff 98 | celerybeat-schedule 99 | celerybeat.pid 100 | 101 | # SageMath parsed files 102 | *.sage.py 103 | 104 | # Environments 105 | .env 106 | .venv 107 | env/ 108 | venv/ 109 | ENV/ 110 | env.bak/ 111 | venv.bak/ 112 | 113 | # Spyder project settings 114 | .spyderproject 115 | .spyproject 116 | 117 | # Rope project settings 118 | .ropeproject 119 | 120 | # 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Business-information-picture-OCR-Model 2 | 本模型是基于Python3编写的工商信息图片识别文字模型。主要步骤包括去噪、分离水印、反色、二值化增强等，支持批量图片处理。 3 | # IDE 4 | Pycharm2018.2+Anaconda3 5 | # 免责 6 | 所有图片资源均为已公开信息，由第三方机构合法提供。 7 | -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | import os 2 | from PIL import Image,ImageFilter,ImageEnhance 3 | import time 4 | import cv2 5 | import numpy 6 | import glob 7 | import os 8 | import datetime 9 | 10 | #新建目标文件夹 11 | def mkdir(path): 12 | path = path.strip() 13 | path = path.rstrip("\\") 14 | 15 | isExists = os.path.exists(path) 16 | if not isExists: 17 | os.makedirs(path) 18 | return True 19 | else: 20 | return False 21 | 22 | #主 图片预处理 23 | def imgTransfer(im): 24 | im = im.filter(ImageFilter.MedianFilter(1)) 25 | im = ImageEnhance.Contrast(im).enhance(1.5) 26 | im = im.convert('L') # 灰度图转换 27 | im = denoising(im) # 图片去噪 28 | imgc = binarizing(im, 200) # 图片二值化 29 | return imgc 30 | 31 | #去噪 32 | def denoising(im): 33 | pixdata = im.load() 34 | w, h = im.size 35 | for j in range(1, h - 1): 36 | for i in range(1, w - 1): 37 | count = 0 38 | if pixdata[i, j - 1] > 245: 39 | count = count + 1 40 | if pixdata[i, j + 1] > 245: 41 | count = count + 1 42 | if pixdata[i + 1, j] > 245: 43 | count = count + 1 44 | if pixdata[i - 1, j] > 245: 45 | count = count + 1 46 | if count > 2: 47 | pixdata[i, j] = 255 48 | return im 49 | 50 | #图片增强，二值化函数 51 | def binarizing(im, threshold): 52 | pixdata = im.load() 53 | w, h = im.size 54 | for j in range(h): 55 | for i in range(w): 56 | if pixdata[i, j] < threshold: 57 | pixdata[i, j] = 255 58 | else: 59 | pixdata[i, j] = 0 60 | return im 61 | 62 | #反色。把黑底变白底255，把不是白底的（字）变为黑色0 63 | def inverse_color(image): 64 | for row in range(src.shape[0]): 65 | for col in range(src.shape[1]): 66 | for channel in range(src.shape[2]): 67 | if mask[row, col, channel] == 0: 68 | val = 0 69 | else: 70 | reverse_val = 255 - src[row, col, channel] 71 | val = 255 - reverse_val * 256 / mask[row, col, channel] 72 | if val < 0: 73 | val = 0 74 | image[row, col, channel] = val 75 | height,width,_ = image.shape 76 | img2 = image.copy() 77 | for i in range(height): 78 | for j in range(width): 79 | img2[i,j] = (255-image[i,j]) 80 | if img2[i, j].sum(axis=None, dtype=None, out=None)!=765: 81 | img2[i,j] = 0 82 | return img2 83 | 84 | #删除中间缓存图片 85 | def delete_file(src): 86 | if os.path.isfile(src): 87 | try: 88 | os.remove(src) 89 | except: 90 | pass 91 | elif os.path.isdir(src): 92 | for item in os.listdir(src): 93 | itemsrc=os.path.join(src,item) 94 | delete_file(itemsrc) 95 | try: 96 | os.rmdir(src) 97 | except: 98 | pass 99 | 100 | if __name__ == '__main__': 101 | srcpath = "E:/tianmao" 102 | maskpath = "E:/mask" 103 | finpath = "E:/fin" 104 | 105 | mkpath = maskpath 106 | mkdir(mkpath) 107 | mkpath = finpath 108 | mkdir(mkpath) 109 | 110 | for filepath in os.listdir(srcpath): 111 | filename1 = os.path.splitext(filepath)[1] 112 | filename1 = filename1.lower() 113 | if filename1 == '.jpg' or filename1 == '.png' or filename1 == '.jpeg' or filename1 == '.bmp': 114 | 115 | src = cv2.imread(filepath) 116 | start = time.clock() 117 | print("正在生成" + (filepath) + "水印图...") 118 | im = Image.open(filepath) 119 | imgc = imgTransfer(im) # 图片预处理,二值化,图片增强 120 | imgc.save(os.path.join(maskpath, os.path.basename(filepath))) 121 | print("当前水印图生成完毕") 122 | mask = cv2.imread(os.path.join(maskpath, os.path.basename(filepath))) 123 | print("已获取原图: " + (filepath)) 124 | print("已获取其水印图: " + (os.path.join(maskpath, os.path.basename(filepath)))) 125 | print ("正在生成，请稍后...") 126 | saver = numpy.zeros(src.shape, numpy.uint8) 127 | result = inverse_color(saver) 128 | cv2.imwrite((finpath) + "/" + (filepath), result) 129 | end = time.clock() 130 | print ("耗时" + str(round(end - start)) + "秒") 131 | print("当前测试图片生成完毕！" + "\n") 132 | 133 | dirname = maskpath 134 | delete_file(dirname) 135 | print("结束！") -------------------------------------------------------------------------------- /new_main_GUI_Pic2str.py: -------------------------------------------------------------------------------- 1 | from tkinter import * #@UnusedWildImport 2 | from tkinter import filedialog #@Reimport 3 | import os 4 | import time 5 | from PIL import Image 6 | import pytesseract 7 | import xlrd 8 | import xlwt 9 | import re 10 | import sys 11 | import threading 12 | from threading import Lock 13 | import math 14 | 15 | def fun(): 16 | write_log_to_Text("识别中,请稍等...") 17 | filepath = init_Text.get(1.0, END).strip()#获取输入框中的值 = init_Text.get(1.0, END).strip()#获取输入框中的值 18 | # 将文件名列表重新排序# 19 | # 没有xxpng.png干扰的顺序读取 20 | const = 4 #线程数,可更改 21 | filelist = os.listdir(filepath) 22 | filelist.sort(key=lambda x: int(x[:-4])) 23 | thradsum = int(math.ceil(len(filelist) / const))#计算给每个线程分配的资源数, 24 | thl = []#线程的集合 25 | biglist = []#分配资源的集合 26 | count = 0#计数器 27 | #创建5个线程, 28 | for i in range(const): 29 | biglist.append([]) 30 | if len(filelist) - count >= thradsum: 31 | for x in range(thradsum): 32 | biglist[i].append(os.path.join(filepath, filelist[count])) 33 | count += 1 34 | else: 35 | for x in range(len(filelist) - count): 36 | biglist[i].append(os.path.join(filepath, filelist[count])) 37 | count += 1 38 | 39 | th1 = threading.Thread(target=init, args=(biglist[i],)) 40 | thl.append(th1) 41 | for t in thl: 42 | t.setDaemon(True) 43 | t.start() 44 | # dir1 = [] 45 | # dir2 = [] 46 | # dir3 = [] 47 | # dir4 = [] 48 | # dir5 = [] 49 | # for x in range(0, 10): 50 | # dir1.append(os.path.join(filepath, filelist[x])) 51 | # th1 = threading.Thread(target=init, args=(dir1,)) 52 | # thl.append(th1) 53 | # 54 | # for x in range(10, 20): 55 | # dir2.append(os.path.join(filepath, filelist[x])) 56 | # th2 = threading.Thread(target=init, args=(dir2,)) 57 | # thl.append(th2) 58 | # 59 | # for x in range(20, 30): 60 | # dir3.append(os.path.join(filepath, filelist[x])) 61 | # th3 = threading.Thread(target=init, args=(dir3,)) 62 | # thl.append(th3) 63 | # 64 | # for x in range(30, 40): 65 | # dir4.append(os.path.join(filepath, filelist[x])) 66 | # th4 = threading.Thread(target=init, args=(dir4,)) 67 | # thl.append(th4) 68 | # 69 | # for x in range(40, 50): 70 | # dir5.append(os.path.join(filepath, filelist[x])) 71 | # th5 = threading.Thread(target=init, args=(dir5,)) 72 | # thl.append(th5) 73 | # print(thl) 74 | # print(len(thl)) 75 | 76 | #将文件夹内图片重命名，排除不规范文件名 77 | def re_name(filepath): 78 | # file_list 文件夹下文件名的列表，以字符串方式排序 79 | file_list = os.listdir(filepath) 80 | for filename in file_list: 81 | oldname = filepath + '/' + filename 82 | file_num = re.compile('\d+', re.S) 83 | i = int(file_num.findall(filename)[0]) 84 | newname = filepath + '/' + "%d" % i + ".png" 85 | # print(newname) 86 | os.rename(oldname, newname) 87 | 88 | #功能函数 89 | #点击选择文件按钮之后调用的第一个函数 90 | def openfile():#打开文件调用函数 91 | path = filedialog.askopenfilename(title='打开文件', filetypes=[('PNG', '*.png *.PNG'), ('All Files', '*')]) 92 | dols(path) 93 | 94 | #将所选路径写入到选择文件的输入框中.并在日志信息框中输出成功 95 | 96 | def dols(selectdir): 97 | if os.path.isfile(selectdir):#判断是不是一个文件，空文件也返回false 98 | filepath = os.path.split(selectdir)[0] 99 | 100 | # 获取文件名列表 101 | filelist = os.listdir(filepath) 102 | # 调用re_name函数，将不规范文件名规范化 103 | re_name(filepath) 104 | # 将文件名列表重新排序# 105 | # 没有xxpng.png干扰的顺序读取 106 | filelist.sort(key=lambda x: int(x[:-4]), reverse=True) 107 | init_Text.delete(1.0, END)#防止重复写路径 108 | init_Text.insert(1.0, filepath) 109 | if os.path.isdir(filepath): #判断name是不是一个目录，不是目录就返回false 110 | for s in filelist: 111 | result_Text.insert(1.0, s + '\n') 112 | write_log_to_Text("导入目录成功" + "\n" + "点击【全部识别】后开始...") 113 | 114 | #保存 115 | #def savefile(self):#打开文件调用函数 116 | # s = filedialog.askopenfilename(title='打开文件', filetypes=[('All Files', '*')]) 117 | # if os.path.isfile(s):#判断是不是一个文件，空文件也返回false 118 | # dir = os.path.split(s)[0] 119 | # self.save_Text.insert(1.0, dir) 120 | # self.save_button.bind("", pic2str.main(r)) 121 | 122 | #日志动态打印 123 | def write_log_to_Text(logmsg): 124 | #获取当前时间 125 | current_time = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())) 126 | logmsg_in = str(current_time) + " " + str(logmsg) + "\n" #换行 127 | log_Text.insert(END, logmsg_in) 128 | init_window.update() 129 | 130 | #以下函数是识别图片的 131 | def NumAndName(str): 132 | result = [] 133 | str_1 = r'注册号:' 134 | str_2 = r'名称:' 135 | #正则表达式 136 | # Num = re.compile(str_1 + '(\w{18})', re.S) 137 | # Name = re.compile(str_2 + '(.*?有限公司)', re.S) 138 | Num = re.compile(str_1 + '(\w{18})', re.S) 139 | Name = re.compile('\w{18}' + '(.*?有限公司)', re.S) 140 | #贪婪匹配提取并容错判断 141 | if len(Num.findall(str)) == 0: 142 | result = None 143 | else: 144 | num = Num.findall(str)[0] 145 | if len(Name.findall(str)) == 0: 146 | result = None 147 | else: 148 | name = Name.findall(str)[0] 149 | result.append(num) 150 | result.append(name) 151 | result[1] = result[1].replace('企业名称:', '') 152 | return result 153 | 154 | def py2ex(file, Num_Name, filename): 155 | num = Num_Name[0] 156 | name = Num_Name[1] 157 | file_num = re.compile('\d+', re.S) 158 | i_str = file_num.findall(filename)[0] 159 | i = int(i_str) + 1 160 | data_sheet.write(i, 0, name) 161 | data_sheet.write(i, 1, num) 162 | return file 163 | 164 | #点击全部处理之后,第一个调用此函数 165 | def init(filepath): 166 | global file, data_sheet 167 | # tesseract-ocr功能地址 可能可以删 168 | tesseract_cmd = 'E:/python/Install_tesseract-ocr/Tesseract-OCR/tesseract.exe' 169 | 170 | # 创建表，sheet.write(行, 列, "内容") 171 | file = xlwt.Workbook(encoding='utf-8') 172 | # 创建sheet 173 | data_sheet = file.add_sheet('企业信息') 174 | data_sheet.write(0, 0, "企业名称") 175 | data_sheet.write(0, 1, "企业注册号") 176 | lock = Lock() 177 | #开始识别 178 | for filename in filepath: 179 | # 调用tesseract-ocr识别图片 180 | pic2str = pytesseract.image_to_string(Image.open(filename), lang='chi_sim', config='digits') 181 | 182 | #获取文字信息并提取特征 183 | Information = ''.join(pic2str.split()) 184 | result = NumAndName(Information) 185 | filename = os.path.basename(filename)#E:/fin/1.png 返回 1.png 186 | if result == None: 187 | write_log_to_Text(" " + "【" + filename + "】" + " " + '识别失败') 188 | print(filename + '识别失败') 189 | else: 190 | write_log_to_Text(" " + "【" + filename + "】" + " " + '识别成功') 191 | print(filename + ':' + str(result)) 192 | #输出到excel 193 | py2ex(file, result, filename) 194 | lock.acquire()#互斥锁,只允许同时一个进行 195 | file.save("企业信息.xls") 196 | lock.release() 197 | #GUI界面函数 198 | def main(): 199 | global init_window 200 | init_window = Tk()#实例化出一个父窗口 201 | init_window.title("图片识别工具_v1.0") #窗口名 202 | #1068x681为窗口大小，+130 +10 定义窗口弹出时的默认展示位置 203 | init_window.geometry('1000x481+130+150') 204 | #标签 205 | result_label = Label(init_window, text="选择待处理路径:") 206 | result_label.grid(row=0, column=0) 207 | result_label = Label(init_window, text="日志信息") 208 | result_label.grid(row=1, column=4) 209 | result_label = Label(init_window, text="选择待保存路径:") 210 | result_label.grid(row=4, column=0) 211 | #文本框 212 | global init_Text, result_Text, log_Text, save_Text 213 | 214 | init_Text = Text(init_window, width=28, height=1) #选择打开路径 215 | init_Text.grid(row=0, column=1) 216 | 217 | result_Text = Text(init_window, width=41, height=29) # 选定路径内容展示 218 | result_Text.grid(row=1, column=0, columnspan=2, rowspan=2) 219 | 220 | log_Text = Text(init_window, width=88, height=27) #处理日志展示 221 | log_Text.grid(row=2, column=4) 222 | 223 | save_Text = Text(init_window, width=28, height=1) #选择保存路径,rowspan=1 224 | save_Text.grid(row=4, column=1) 225 | 226 | #按钮 227 | global open_button, all_button, save_button 228 | open_button = Button(init_window, text="选择文件", bg="lightblue", command=openfile) # 调用内部方法 加()为直接调用 229 | open_button.grid(row=0, column=3) 230 | # one_button = Button(init_window, text="单个处理") # 调用内部方法 加()为直接调用 231 | # one_button.grid(row=2, column=4) 232 | all_button = Button(init_window, text="全部识别", bg="lightblue", command=fun) # 调用内部方法 加()为直接调用 233 | all_button.grid(row=2, column=3) 234 | save_button = Button(init_window, text="保存文件", bg="lightblue") # 调用内部方法 加()为直接调用 235 | save_button.grid(row=4, column=3) 236 | #显示全部 237 | init_window.mainloop() 238 | 239 | if __name__ == '__main__': 240 | main() 241 | --------------------------------------------------------------------------------