使用 Rust 实现验证码识别
- 安装所需依赖
首先,确保你已经安装了 Rust。然后,使用 Cargo 添加以下依赖到 Cargo.toml:
toml
[dependencies]
reqwest = { version = "0.11", features = ["blocking", "json"] }
image = "0.23"
tesseract = "0.6"
2. 下载验证码图片
使用 reqwest 下载验证码图片并保存到本地:
rust
use std::fs::File;
use std::io::copy;
use reqwest::blocking::get;
fn download_captcha(url: &str, save_path: &str) {
let response = get(url).expect("下载失败");
let mut file = File::create(save_path).expect("无法创建文件");
copy(&mut response.bytes().expect("读取失败").as_ref(), &mut file).expect("写入失败");
println!("验证码图片已保存为 {}", save_path);
}
3. 图像处理和 OCR 识别
使用 image 和 tesseract 进行图像处理和 OCR 识别:
rust
use image::{GrayImage, Luma};
use tesseract::Tesseract;
fn recognize_captcha(image_path: &str) -> String {
let img = image::open(image_path).expect("打开图片失败").into_luma8();
let mut processed_img: GrayImage = GrayImage::new(img.width(), img.height());
for (x, y, pixel) in img.enumerate_pixels() {
let Luma([value]) = *pixel;
let new_value = if value < 128 { 0 } else { 255 };
processed_img.put_pixel(x, y, Luma([new_value]));
}
let tesseract = Tesseract::new(None, "eng").expect("Tesseract 初始化失败");
let text = tesseract.set_image(&processed_img).expect("设置图片失败").get_text().expect("识别失败");
println!("识别结果: {}", text);
text.trim().to_string()
}
4. 自动化登录
使用 reqwest 发送 POST 请求,模拟登录操作,并传递用户名、密码和识别出的验证码:
rust
fn login(username: &str, password: &str, captcha: &str) {
let client = reqwest::blocking::Client::new();
let url = "https://captcha7.scrape.center/login";
let res = client.post(url)
.json(&serde_json::json!({
"username": username,
"password": password,
"captcha": captcha
}))
.send()
.expect("登录请求失败");
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if res.status().is_success() {
println!("登录成功");
} else {
println!("登录失败: {}", res.status());
}
}
5. 主程序
整合上述代码,创建主程序:
rust
fn main() {
let captcha_url = "https://captcha7.scrape.center/captcha.png";
let captcha_path = "captcha.png";
// 下载验证码
download_captcha(captcha_url, captcha_path);
// 识别验证码
let captcha_text = recognize_captcha(captcha_path);
// 登录
login("admin", "admin", &captcha_text);
}