美文网首页
基于Python的OCR文字识别程序

基于Python的OCR文字识别程序

作者: 汲之郎 | 来源:发表于2023-11-11 16:03 被阅读0次

看到一段基于Python的OCR文字识别程序,记录备查

import pytesseract
import sys
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import os
from sys import platform

class MYOCR(QWidget):
    def __init__(self):
        super(MYOCR, self).__init__()

        XSIZE, YSIZE= 1400, 850
        self.resize(XSIZE, YSIZE)
        self.setWindowTitle("OCR文字识别小工具(星未)")
        
        self.imageFile=""
        btn_open = QPushButton(self)
        btn_open.setText("打开图片")
        btn_open.move(10, 10)
        btn_open.clicked.connect(self.openimage)
        
        self.language='chi_sim'
        self.choice_lang = '语言'
        self.choice_list_lang = ['简体汉语','繁体汉语', '英语','OSD多语言']
        self.combobox_lang = QComboBox(self)
        self.combobox_lang.move(100,10)
        self.combobox_lang.addItem(self.choice_lang)              # 4
        self.combobox_lang.addItems(self.choice_list_lang)        # 5
        self.combobox_lang.currentIndexChanged.connect(lambda: self.on_combobox_func(self.combobox_lang)) 

        
        self.configLabel=QLabel(self)
        self.configLabel.move(250, 10)
        self.configLabel.setFixedSize(100, 25)
        self.configLabel.setText('config:')
        
        configTip1="""-oem:\n
                   0  Legacy engine only. 
                   1  Neural nets LSTM engine only.
                   2  Legacy + LSTM engines.
                   3  Default, based on what is available.\n"""
        configTip2="""--psm:\n
         0    Orientation and script detection (OSD) only.
         1    Automatic page segmentation with OSD.
         2    Automatic page segmentation, but no OSD, or OCR. (not implemented)
         3    Fully automatic page segmentation, but no OSD. (Default)
         4    Assume a single column of text of variable sizes.
         5    Assume a single uniform block of vertically aligned text.
         6    Assume a single uniform block of text.
         7    Treat the image as a single text line.
         8    Treat the image as a single word.
         9    Treat the image as a single word in a circle.
        10    Treat the image as a single character.
        11    Sparse text. Find as much text as possible in no particular order.
        12    Sparse text with OSD.
        13    Raw line. Treat the image as a single text line,
              bypassing hacks that are Tesseract-specific."""
              
        configTip = configTip1 + configTip2
              
        self.defaulet_config=r'--oem 3 --psm 6' 
        self.configbox = QTextEdit(self)
        self.configbox.move(300, 10)
        self.configbox.setFixedSize(250, 25)
        self.configbox.setText(self.defaulet_config)
        self.configbox.setToolTip(configTip)
        self.custom_oem_psm_config = self.configbox.toPlainText()
        self.config=self.custom_oem_psm_config
        
        btn_ocr = QPushButton(self)
        btn_ocr.setText("开始识别")
        btn_ocr.move(570, 10)
        btn_ocr.clicked.connect(self.run_terseract)
         
        self.saveFilePath= os.path.abspath(os.getcwd())
        self.saveFile='text.txt'
        self.saveFileFull=""
        if platform == "linux" or platform == "linux2":
            self.saveFileFull= self.saveFilePath + "/" + self.saveFile
        elif platform == "darwin":
            # OS X
            self.saveFileFull=self.saveFilePath + "/" +self.saveFile
        elif platform == "win32":
            self.saveFileFull=self.saveFilePath + "\\" + self.saveFile
        btn_save = QPushButton(self)
        btn_save.setText("保存到文件:")
        btn_save.move( int(XSIZE/2.0)+5, 10)
        btn_save.clicked.connect(self.save_text_to_file)
        
        self.filebox = QTextEdit(self)
        self.filebox.move( int(XSIZE/2.0)+100, 10)
        self.filebox.setFixedSize(540, 25)
        self.filebox.setText(self.saveFile)
        
        ################################################################      
        ### 图片  
        self.xsize=690
        self.ysize=800
        self.label = QLabel(self)
        self.label.setText(" ")
        self.label.move(10, 40)
        self.label.setFixedSize(self.xsize, self.ysize)
        self.label.setScaledContents(True)
        self.label.setStyleSheet("QLabel{background:white;}"
                                 "QLabel{color:rgb(255,255,255);}"
                                 )

        ### 文字
        self.textbox = QTextEdit(self)
        self.textbox.move(705, 40)
        self.textbox.setFixedSize(self.xsize, self.ysize)
    
    def on_combobox_func(self, combobox):      
                                                              # 8
        if combobox == self.combobox_lang:
            dir_lang = {'语言':'chi_sim','简体汉语':'chi_sim', '繁体汉语':'chi_tra', '英语':'eng', 'OSD多语言':'osd'}
            all_lang = pytesseract.get_languages(config='')  
            self.language=dir_lang[ combobox.currentText() ] 
            
        elif combobox == self.combobox_method:
            dir_method=[]
            self.lineedit.setFont(combobox.currentFont())
            
        else:
            pass
            #QMessageBox.information(self, 'ComboBox lang', '{}: {}'.format(combobox.currentIndex(), combobox.currentText()))
  
    def save_text_to_file(self):
        filename = self.filebox.toPlainText()
        with open(filename,'w') as f:
            ocr_text=self.textbox.toPlainText()
            f.write(ocr_text)
        msg = QMessageBox()
        msg.setIcon(QMessageBox.Information)
        msg.setText("文字已保存到 " + filename + " 中!") 
        msg.exec_()
            
    def openimage(self):
        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "*.png;;*.jpg;;All Files(*)")
        imagefile= QtGui.QPixmap(imgName).scaled(self.label.width(), self.label.height())
        self.label.setPixmap(imagefile)
        self.imageFile = imgName

    def run_terseract(self):
        self.custom_oem_psm_config = self.configbox.toPlainText()
        self.config=self.custom_oem_psm_config
        if self.language=='语言': 
            self.language='chi_sim'
        
        self.textbox.setText("<font color='red'> 设别中,请稍后.\n"+ \
            self.language + "\n"+ \
            self.config + ".</font>")
              
        QApplication.processEvents() 
        
        XImage = self.imageFile
        xstring= pytesseract.image_to_string(XImage, lang=self.language, config=self.config)
        if self.language=='chi_sim' or self.language=='chi_tra':
            self.textbox.setText(xstring.replace(' ',''))
        else:
            self.textbox.setText(xstring)

if __name__ == "__main__":
    app = QtWidgets.QApplication(sys.argv)
    my = MYOCR()
    my.show()
    sys.exit(app.exec_())

相关文章

网友评论

      本文标题:基于Python的OCR文字识别程序

      本文链接:https://www.haomeiwen.com/subject/wgakwdtx.html