使用 Nim 识别英文数字验证码
- 环境准备
首先,确保你已安装 Nim 语言及其包管理器 Nimble。然后安装以下库:
httpbeast(用于 HTTP 请求)
tesseract(用于 OCR 识别)
opencv(用于图像处理)
在你的 Nimble 项目中添加依赖:
nim
在你的 .nimble 文件中
requires "httpbeast", "tesseract", "opencv"
然后运行以下命令安装库:
nimble install httpbeast tesseract opencv
2. 下载验证码图片
使用 httpbeast 下载验证码图片并保存到本地:
nim
import httpbeast, os
proc downloadCaptcha(url: string, savePath: string) =
let response = httpGet(url)
if response.status == Http200:
writeFile(savePath, response.body)
echo "验证码图片已保存为 ", savePath
else:
echo "下载失败: ", response.status
3. 图像处理与 OCR 识别
使用 tesseract 进行 OCR 识别:
nim
import tesseract
proc recognizeCaptcha(imagePath: string): string =
let result = recognize(imagePath)
echo "识别结果: ", result
return result
4. 自动化登录
使用 httpbeast 发送 POST 请求,模拟登录操作:
nim
复制代码
proc login(username: string, password: string, captcha: string) =
let url = "https://captcha7.scrape.center/login"
let params = "username=" & username & "&password=" & password & "&captcha=" & captcha
let response = httpPost(url, params)
if response.status == Http200:
echo "登录成功"
else:
echo "登录失败: ", response.status
5. 主程序
整合上述代码,创建主程序:
nim
复制代码
proc main() =
let captchaUrl = "https://captcha7.scrape.center/captcha.png"
let captchaPath = "captcha.png"
下载验证码图片
downloadCaptcha(captchaUrl, captchaPath)
识别验证码
let captchaText = recognizeCaptcha(captchaPath)
模拟登录
login("admin", "admin", captchaText)
启动程序
main()