Home > Article > Backend Development > PHP script automatically recognizes verification code to query car violations
I often check whether my car has any traffic violations, so I wrote this script to help check whether my car has any traffic violations.
Mainly used to simulate form submission and verification code recognition with cookies.
Tesseract-OCR
Verification code recognition technology, Tesseract-OCR: https://github.com/tesseract-ocr/tesseract
Installation tutorial: https://github.com/tesseract-ocr/tesseract
Tesseract-Ocr-For-PHP
Encapsulate the commands that need to be executed
https://github.com/thiagoalessio/tesseract-ocr-for-php
Just load the script without any optimization. Let’s take a brief look at it:
PHP
<?php require 'TesseractOCR.php'; function weizhang($car_code, $fdjh) { $shanghui = mb_substr($car_code, 0, 1, 'utf-8'); $pre = array( '冀' => 'he', '云' => 'yn' ); $url_pre = $pre[$shanghui]; $headers = array( 'Host: '.$url_pre.'.122.gov.cn', 'Origin: http://'.$url_pre.'.122.gov.cn', 'Referer: http://'.$url_pre.'.122.gov.cn/views/inquiry.html?q=j', 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36 QQBrowser/4.1.4132.400' ); //初始化变量 $cookie_file = 'cookie.txt'; $login_url = "http://$url_pre.122.gov.cn/views/inquiry.html?q=j"; $post_url = "http://$url_pre.122.gov.cn/m/publicquery/vio"; $verify_code_url = "http://$url_pre.122.gov.cn/captcha?nocache=".time(); $curl = curl_init(); $timeout = 5; curl_setopt($curl, CURLOPT_URL, $login_url); curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1); curl_setopt($curl, CURLOPT_HTTPHEADER, $headers); curl_setopt($curl, CURLOPT_CONNECTTIMEOUT, $timeout); curl_setopt($curl, CURLOPT_COOKIEJAR, $cookie_file); //获取COOKIE并存储 $contents = curl_exec($curl); curl_close($curl); $curl = curl_init(); curl_setopt($curl, CURLOPT_URL, $verify_code_url); curl_setopt($curl, CURLOPT_COOKIEFILE, $cookie_file); curl_setopt($curl, CURLOPT_HTTPHEADER, $headers); curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1); $img = curl_exec($curl); curl_close($curl); $fp = fopen("verifyCode.jpg", "w"); fwrite($fp, $img); fclose($fp); $code = (new TesseractOCR('verifyCode.jpg'))->psm(7)->run(); $code = explode("\n", $code); $code = $code[1]; echo $code.PHP_EOL; if (strlen($code) != 4) { return json_encode(array('code'=>500)); } $data = array( 'hpzl'=>'02', 'hphm1b' => substr($car_code, -6), 'hphm' => $car_code, 'fdjh' => $fdjh, 'captcha' => $code, 'qm' => 'wf', 'page' => 1 ); $curl = curl_init(); curl_setopt($curl, CURLOPT_URL, $post_url); curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1); curl_setopt($curl, CURLOPT_POSTFIELDS, $data); curl_setopt($curl, CURLOPT_HTTPHEADER, $headers); curl_setopt($curl, CURLOPT_COOKIEFILE, $cookie_file); $result = curl_exec($curl); curl_close($curl); //unlink($cookie_file); //unlink('verifyCode.jpg'); return $result; } $count = 0; // 车牌号 $car_code = '冀Dxxxxx'; // 发动机后6位 $fdjh = 'xxxxxx'; while (true) { $count++; if ($count>50) { exit('查询失败'); } $res = weizhang($car_code, $fdjh); $info = json_decode($res, true); echo $res.PHP_EOL; if ($info['code'] == 200) { echo '车牌号: '. $car_code.PHP_EOL; echo '未处理违章数: '.$info['data']['content']['zs']; exit(); } }
Execution effect
The above is the PHP script introduced by the editor to automatically identify the verification code to query car violations. I hope it will be helpful to you. If you have any questions, please leave me a message and the editor will reply to you in time. Thank you very much for your support of the PHP website!
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