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网站排名优化金苹果下拉,培训心得简短200字,唐山网站制作公司,营销型网站策划建设【创作不易，切勿抄袭，转载请注明出处，侵权必究】本文概览本文结合开源的tesseract OCR库共尝试三种方法实现了字符型验证码识别与填充提交浏览器插件（非通用型，具体得根据自己网页内容改造，可借鉴本文方…

【创作不易，切勿抄袭，转载请注明出处，侵权必究】

本文概览

本文结合开源的tesseract OCR库共尝试三种方法实现了字符型验证码识别与填充提交浏览器插件（非通用型，具体得根据自己网页内容改造，可借鉴本文方法）

直接在浏览器控制台用js实现;
将1中的脚本引入到浏览器插件中，将cdn资源转离线，并携带在指定页面中，纯js;
2中可能会存在浏览器的内容安全策略（CSP）阻止加载外部脚本，本文通过js调用flask实现的外部服务规避此问题（Python + js）。

假设验证码表单如下，全文通用，此后不再重复提及。

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1 直接在浏览器控制台用js实现

分为在线和离线两种方式

1.1 在线方式

function autoCaptcha() {// 如果 Tesseract 未加载，则动态加载if (typeof Tesseract === 'undefined') {var script = document.createElement('script');script.src = 'https://cdn.jsdelivr.net/npm/tesseract.js@2.1.4/dist/tesseract.min.js';script.onload = function() {console.log('Tesseract.js 已加载');recognizeCaptcha();};document.head.appendChild(script);} else {recognizeCaptcha();}function recognizeCaptcha() {var captchaImg = document.getElementById('captchaImg');if (!captchaImg) {console.error('未找到验证码图片');return;}var imgSrc = captchaImg.src;console.log('验证码图片的 src:', imgSrc);Tesseract.recognize(imgSrc,'eng',{logger: m => console.log(m)}).then(({ data: { text } }) => {console.log('完整识别结果:', text);var captcha = text.trim().substring(0, 6);console.log('提取前6位验证码:', captcha);var captchaInput = document.getElementById('label-for-captcha');if (captchaInput) {captchaInput.value = captcha;console.log('验证码已自动填入输入框');} else {console.error('未找到验证码输入框');}var submitBtn = document.getElementById('btnComplete');if (submitBtn) {console.log('自动触发提交按钮点击');submitBtn.click();} else {console.error('未找到提交按钮');}}).catch(err => {console.error('识别出错:', err);});}
}// 需要的时候调用该函数：
autoCaptcha();

1.2 离线方式

第2大节就是，比第1节改进的地方为脚本集成在浏览器插件中，此处需要先下载tesseract最新版tesseract.js CDN by jsDelivr - A CDN for npm and GitHubA free, fast, and reliable CDN for tesseract.js. Pure Javascript Multilingual OCRhttps://www.jsdelivr.com/package/npm/tesseract.js

2 将1中的脚本引入到浏览器插件中，并携带在指定页面中

（本章节脚本集成在插件部分是一次失败的尝试，后续搞定的小伙伴开源在评论区留言链接）

2.1 谷歌浏览器插件manifest.json配置如下

先下载1.2中的资源，再提醒下，别忘记。下面配置仅供参考，具体根据自己的。

{"manifest_version": 3,"name": "TestPlugin","description": "Extension to auto-verify-submit the website Captcha","version": "1.0","permissions": ["activeTab","tabs","storage"],"web_accessible_resources": [{"resources": ["scripts/melonticket/package/dist/tesseract.min.js"],"matches": ["<all_urls>"]}],"content_scripts": [{"matches": ["https://tkglobal.melon.com/reservation/popup/onestop.htm/*","https://tkglobal.melon.com/reservation/popup/onestop.htm"],"js": ["scripts/melonticket/autoCaptcha.js"],"run_at":"document_end"}
}

重点关注1：引入下载好的离线版tesseract，将其移动至插件脚本目录下scripts/你的项目/，然后在插件中引入下方代码，这里为什么不引入在线的cdn呢？原因是浏览器内容安全策略会阻止外来脚本，产生如下错误，因此要使用离线资源。

Refused to load the script '<URL>' because it violates the following Content Security Policy directive: "script-src 'self' 'wasm-unsafe-eval' 'inline-speculation-rules' <URL> <URL> <URL>". Note that 'script-src-elem' was not explicitly set, so 'script-src' is used as a fallback.

 "resources": ["scripts/melonticket/package/dist/tesseract.min.js"],

Notes: 如果你有权修改网页代码，重点关注1部分就可用忽略了，直接在网页代码中添加下面片段，该cdn资源就被允许加载了。

<meta http-equiv="Content-Security-Policy" content="script-src 'self' https://cdn.jsdelivr.net 'wasm-unsafe-eval' 'inline-speculation-rules';">

重点关注2：这里便是在存在验证码的页面自动注入js脚本，自动识别验证码并填充提交。

"js": ["scripts/melonticket/autoCaptcha.js"]

2.2 脚本实现

下面看看autoCaptcha.js脚本如何实现，很明显tesserace使用的离线资源，这个时候你也可以像1一样将代码粘贴在对应页面的浏览器控制台，进行验证。

function autoCaptcha() {// 如果 Tesseract 未加载，则动态加载if (typeof Tesseract === 'undefined') {var script = document.createElement('script');// 在线加载tesseract，前提是有网页编辑权限，并引入了上面的meta标签// script.src = 'https://cdn.jsdelivr.net/npm/tesseract.js@2.1.4/dist/tesseract.min.js';// 离线加载tesseractscript.src = chrome.runtime.getURL("scripts/melonticket/package/dist/tesseract.min.js");script.onload = function() {console.log('Tesseract.js 已加载');recognizeCaptcha();};document.head.appendChild(script);} else {recognizeCaptcha();}function recognizeCaptcha() {var captchaImg = document.getElementById('captchaImg');if (!captchaImg) {console.error('未找到验证码图片');return;}var imgSrc = captchaImg.src;console.log('验证码图片的 src:', imgSrc);Tesseract.recognize(imgSrc,'eng',{logger: m => console.log(m)}).then(({ data: { text } }) => {console.log('完整识别结果:', text);var captcha = text.trim().substring(0, 6);console.log('提取前6位验证码:', captcha);var captchaInput = document.getElementById('label-for-captcha');if (captchaInput) {captchaInput.value = captcha;console.log('验证码已自动填入输入框');} else {console.error('未找到验证码输入框');}var submitBtn = document.getElementById('btnComplete');if (submitBtn) {console.log('自动触发提交按钮点击');submitBtn.click();} else {console.error('未找到提交按钮');}}).catch(err => {console.error('识别出错:', err);});}
}autoCaptcha();

3 通过js调用flask实现的本地验证服务规避“浏览器的内容安全策略（CSP）阻止加载外部脚本”问题

3.1 通过Anaconda安装python环境

这里就不赘述了，网上教程很多。

3.2 本地安装tesseract程序

直接用3.3会出现下面问题

TesseractNotFoundError: tesseract is not installed or it's not in your PATH. See README file for more information.

因此便需要安装tesseract程序，步骤如下

（1）在python中配置tesseract和pytesseract库

pip install tesseract -i https://pypi.tuna.tsinghua.edu.cn/simplepip install  pytesseract -i https://pypi.tuna.tsinghua.edu.cn/simple

（2）下载tesseract-ocr，本人安装在D:\software\Tesseract-OCR目录下，具体根据自己需求

（3）安装成功后，添加系统环境变量Path中添加路径、新建系统变量

在Path中添加下面路径

新建系统变量

TESSDATA_PREFIXD:\software\Tesseract-OCR\tessdata

（4）如有其他字符库识别需求（以汉字为例），默认识别的是英文库即ASCII字符

下载训练数据，放在D:\software\Tesseract-OCR\tessdata目录下

（5）打开Anaconda中Lib下site-packages下pytesseract下的pytesseract.py（我用的虚拟环境）

更改代码如下

# tesseract_cmd='tesseract'
tesseract_cmd = 'D:\software\Tesseract-OCR\\tesseract.exe'

(6)测试

Windows键+R，输入cmd回车，分别输入tesseract -v和tesseract --list-langs，成功结果如下

Note：红色为刚才添加的汉语语言库

3.3 新建python服务

如在pycharm中创建app.py作为本地OCR服务，这里直接给出服务脚本，缺什么库，自己安装就行

from flask import Flask, request, jsonify
import pytesseract
from PIL import Image
from io import BytesIO
import base64
from flask_cors import CORSapp = Flask(__name__)# Enable CORS for the frontend origin
CORS(app, resources={r"/ocr": {"origins": "https://tkglobal.melon.com"}})pytesseract.pytesseract.tesseract_cmd = 'D:/software/Tesseract-OCR/tesseract.exe'
tessdata_dir_config = '--tessdata-dir "D:/software/Tesseract-OCR/tessdata"'def change_background(img):try:# img.show()x, y = img.sizenew_img = Image.new('RGBA', img.size, (255, 255, 255))new_img.paste(img, (0, 0, x, y), img)return new_imgexcept:print('更换图片背景失败')@app.route('/ocr', methods=['POST'])
def ocr():try:# Get the base64 image data from the requestdata = request.get_json()img_data = data.get('image')if not img_data:return jsonify({'error': 'No image data provided'}), 400# Remove the "data:image/png;base64," part of the string if it existsif img_data.startswith('data:image/png;base64,'):img_data = img_data.replace('data:image/png;base64,', '')# Decode the base64 stringimg_bytes = base64.b64decode(img_data)# Create an image from the byte dataimg = Image.open(BytesIO(img_bytes))# img = change_background(img)# Perform OCR using Tesseracttext = pytesseract.image_to_string(img,lang="eng",config="--psm 7")# Return the extracted textreturn jsonify({'text': text.strip()})except Exception as e:return jsonify({'error': str(e)}), 500if __name__ == '__main__':app.run(debug=True)

利用postman测试服务

curl --location 'http://127.0.0.1:5000/ocr' \
--header 'Content-Type: application/json' \
--data ' {"image":"data:image/png;base64,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"}'

结果如下（tesseract准确率不是100%哈，但是大部分都正确识别了）

最后一步，重写js代码，autoCaptcha的再实现，由于上面提到tesseract准确率不是100%，因此下面代码做了刷新再识别直至识别成功。

function autoCaptcha() {// Get the captcha image as base64var captchaImg = document.getElementById('captchaImg');if (!captchaImg) {console.error('验证码图片未找到');return;}var imgBase64 = captchaImg.src;  // This is the base64 data URL// Send the base64 string to the Python serverfetch('http://127.0.0.1:5000/ocr', {method: 'POST',headers: {'Content-Type': 'application/json'},body: JSON.stringify({ image: imgBase64 })}).then(response => response.json()).then(data => {if (data.text) {console.log('OCR识别结果:', data.text);var captcha = data.text.trim().substring(0, 6);  // Extract the captcha textconsole.log('提取前6位验证码:', captcha);// Fill the captcha inputvar captchaInput = document.getElementById('label-for-captcha');if (captchaInput) {captchaInput.value = captcha;console.log('验证码已自动填入输入框');}// Submit the form if neededvar submitBtn = document.getElementById('btnComplete');if (submitBtn) {submitBtn.click();}} else {console.error('OCR识别失败:', data.error);}}).catch(error => console.error('请求错误:', error));
}async function sleep(t) {return await new Promise(resolve => setTimeout(resolve, t));
}async function loopVerifyCaptcha(){autoCaptcha();await sleep(15000);while(document.getElementById("certification").style.display != "none") {// Call autoCaptcha function as neededdocument.getElementById('btnReload').click();await sleep(10000);autoCaptcha();}
}loopVerifyCaptcha();

恭喜您，掌握了新技能，如果有帮到您，点击右下角红包打赏作者喝杯奶茶吧~

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