用 Rust 和 Tesseract 实现验证码识别工具

一、环境准备
安装 Rust

curl https://sh.rustup.rs -sSf | sh
安装 Tesseract OCR

Ubuntu / Debian

sudo apt install tesseract-ocr
更多内容访问ttocr.com或联系1436423940

macOS

brew install tesseract
二、创建项目

cargo new rust_captcha
cd rust_captcha
编辑 Cargo.toml，添加依赖：

[dependencies]
regex = "1"
三、编写程序
编辑 src/main.rs：

use std::process::Command;
use std::fs;
use std::env;
use regex::Regex;

fn run_tesseract(image_path: &str) -> String {
let output_base = "output";
let whitelist = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";

let status = Command::new("tesseract")
    .args([
        image_path,
        output_base,
        "-l", "eng",
        "-c", &format!("tessedit_char_whitelist={}", whitelist),
    ])
    .status()
    .expect("Failed to run tesseract");

if !status.success() {
    return "识别失败".to_string();
}

let txt_path = format!("{}.txt", output_base);
let content = fs::read_to_string(&txt_path).unwrap_or_default();
let _ = fs::remove_file(&txt_path);

let re = Regex::new(r"[A-Z0-9]").unwrap();
let cleaned: String = re
    .find_iter(&content.to_uppercase())
    .map(|m| m.as_str())
    .collect();

cleaned

}

fn main() {
let args: Vec = env::args().collect();
if args.len() < 2 {
eprintln!("用法: {} <图片路径>", args[0]);
return;
}

let image_path = &args[1];
let result = run_tesseract(image_path);
println!("识别结果: {}", result);

}
四、构建与运行
构建：

cargo build --release
运行：

./target/release/rust_captcha ./