1. Identify by locating elements and intercepting pictures
#ocr identification principle: first locate the verification code picture according to the class dl_yzm of the verification code, then save the screenshot of the verification code, then use ocr to identify, read out the verification code, and fill it into yzm_text (not available with IE browser)
driver.find_element(By.CLASS_NAME, "dl_yzm").click()
yzmImage=driver.find_element(By.XPATH,"/html/body/div[@class='login_bg']/div[@class='login_main']/div[@class='login_box']/p[4] /span[@class='dl_yzm']/img/@src") #Verification code image
yzmImage.screenshot("yzm.png") #Verification code screenshot, save as yzm.png
ocr=ddddocr.DdddOcr()(show_ad=False)
with open("yzm.png","rb") as fp:
image=fp.read()
catch=ocr.classification(image) #Verification code returned to catch
print(catch)
driver.find_element(By.ID,"yzm_text").send_keys(catch) #Fill the verification code recognized by ocr into yzm_text
2.#Another way to capture and identify the verification code image by means of coordinates
#Intercept current page
driver.save_screenshot('web_screen.png')
page_snap_obj=Image.open('web_screen.png')
#Position verification code
yzm=driver.find_element(By.CLASS_NAME,"dl_yzm")
location=yzm.location
size=yzm.size
left=location['x']
top=location['y']
right=left+size['width']
bottom=top+size['height']
yzm_obj=page_snap_obj.crop((left,top,right,bottom))
#Save the captured verification code picture and identify the content of the verification code
yzm_obj.save('yzm.png')
ocr=ddddocr.DdddOcr(show_ad=False)
with open('yzm.png','rb') as fp:
img=fp.read()
catch=ocr.classification(img)
driver.find_element(By.ID, "yzm_text").send_keys(catch) # Fill in the verification code recognized by ocr to yzm_text