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滑块识别验证

news 2025/8/6 14:50:10

滑块识别

1. 获取图片

测试网站：https://www.geetest.com/adaptive-captcha-demo

2. 点击滑块拼图并开始验证

# 1.打开首页
driver.get('https://www.geetest.com/adaptive-captcha-demo')# 2.点击【滑动拼图验证】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(By.XPATH,'//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[3]'
))
tag.click()# 3.点击开始验证
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(By.CLASS_NAME,'geetest_btn_click'
))
tag.click()

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3. 获取背景图片与缺口图片

# 4.读取背景图片
def fetch_bg_func(dv):tag_object = dv.find_element(By.CLASS_NAME,'geetest_bg')style_string = tag_object.get_attribute("style")match_list = re.findall('url\(\"(.*)\"\);', style_string)  # ["http..." ]if match_list:return match_list[0]bg_image_url = WebDriverWait(driver, 30, 0.5).until(fetch_bg_func)  # 新的函数 = 某个函数('geetest_bg')
print("背景图：", bg_image_url)# 5.读取缺口图片
def fetch_slice_func(dv):tag_object = dv.find_element(By.CLASS_NAME,'geetest_slice_bg')style_string = tag_object.get_attribute("style")match_list = re.findall('url\(\"(.*)\"\);', style_string)if match_list:return match_list[0]slice_image_url = WebDriverWait(driver, 30, 0.5).until(fetch_slice_func)  # 新的函数 = 某个函数('geetest_slice_bg')
print("缺口图：", slice_image_url)

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4. 识别图片

背景图： https://static.geetest.com/captcha_v4/e70fbf1d77/slide/491f18e9b8/2022-04-21T09/bg/031bfe44f51149da9e7adbecfbdac599.png

缺口图： https://static.geetest.com/captcha_v4/e70fbf1d77/slide/491f18e9b8/2022-04-21T09/slice/031bfe44f51149da9e7adbecfbdac599.png

4.1 ddddocr

import ddddocr
import requestsslice_bytes = requests.get(slice_image_url).content
bg_bytes = requests.get(bg_image_url).contentslide = ddddocr.DdddOcr(det=False, ocr=False,show_ad=False)  # det=False：表示不进行文本检测。ocr=False：表示不进行文本识别。show_ad=False：表示不显示广告。
res = slide.slide_match(slice_bytes, bg_bytes, simple_target=True)
x1, y1, x2, y2 = res['target']
print(x1, y1, x2, y2)  # 196 12 276 92

4.2 打码平台

网址：http://www.ttshitu.com/

import base64
import requestsbg_bytes = requests.get(bg_image_url).content
b64_string = base64.b64encode(bg_bytes).decode('utf-8')data = {"username": "自己的用户名", "password": "自己的密码", "typeid": 33, "image": b64_string}
res = requests.post("http://api.ttshitu.com/predict", json=data)
data_dict = res.json()
distance = data_dict['data'] # 只返回横坐标
print(distance)  # {'result': '173', 'id': 't0pNdrJjTCmXScFtGRofaw'}

5. Selenium滑动

from selenium.webdriver import ActionChainstag = driver.find_element(By.CLASS_NAME, 'geetest_btn')
time.sleep(2)ActionChains(driver).click_and_hold(tag).perform()  # 点击并抓住标签
ActionChains(driver).move_by_offset(xoffset=x1, yoffset=0).perform()  # 向右滑动114像素（向左是负数）
ActionChains(driver).release().perform()  # 释放time.sleep(3)

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6. 完整代码

import re
import timeimport ddddocr
import requests
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWaitdriver = webdriver.Edge()# 1.打开首页
driver.get('https://www.geetest.com/adaptive-captcha-demo')# 2.点击【滑动拼图验证】
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(By.XPATH,'//*[@id="gt-showZh-mobile"]/div/section/div/div[2]/div[1]/div[2]/div[3]/div[3]'
))
tag.click()# 3.点击开始验证
tag = WebDriverWait(driver, 30, 0.5).until(lambda dv: dv.find_element(By.CLASS_NAME,'geetest_btn_click'
))
tag.click()# 4.读取背景图片
def fetch_bg_func(dv):tag_object = dv.find_element(By.CLASS_NAME,'geetest_bg')style_string = tag_object.get_attribute("style")match_list = re.findall('url\(\"(.*)\"\);', style_string)  # ["http..." ] if match_list:return match_list[0]bg_image_url = WebDriverWait(driver, 30, 0.5).until(fetch_bg_func)  # 新的函数 = 某个函数('geetest_bg')
print("背景图：", bg_image_url)# 4.读取缺口图片
def fetch_slice_func(dv):tag_object = dv.find_element(By.CLASS_NAME,'geetest_slice_bg')style_string = tag_object.get_attribute("style")match_list = re.findall('url\(\"(.*)\"\);', style_string)if match_list:return match_list[0]slice_image_url = WebDriverWait(driver, 30, 0.5).until(fetch_slice_func)  # 新的函数 = 某个函数('geetest_slice_bg')
print("缺口图：", slice_image_url)# 5.识别图片坐标
slice_bytes = requests.get(slice_image_url).content
bg_bytes = requests.get(bg_image_url).contentslide = ddddocr.DdddOcr(det=False, ocr=False,show_ad=False)  # det=False：表示不进行文本检测。ocr=False：表示不进行文本识别。show_ad=False：表示不显示广告。
res = slide.slide_match(slice_bytes, bg_bytes, simple_target=True)
x1, y1, x2, y2 = res['target']
print(x1, y1, x2, y2)  # 196 12 276 92# 6.滑动滑块
tag = driver.find_element(By.CLASS_NAME, 'geetest_btn')
time.sleep(2)
ActionChains(driver).click_and_hold(tag).perform()  # 点击并抓住标签
ActionChains(driver).move_by_offset(xoffset=x1, yoffset=0).perform()  # 向右滑动114像素（向左是负数）
ActionChains(driver).release().perform()  # 释放time.sleep(3)