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一个用于验证码识别的小程序源代码

  • 更新:2024-09-07 14:10:44
  • 大小:1.76MB
  • 推荐:★★★★★
  • 来源:网友上传分享
  • 类别:C# - 后端
  • 格式:RAR

资源介绍

http://blog.****.net/xiaoxiao108/article/details/7226120 前些天,12306这个网站挺火的,看到网上出现了各种各样的登陆、订票插件跟程序。虽然没经历过春运,看到网上各种各样的插件跟工具挺有意思的,下载了几个看了看,都挺不错的。印象中有个java版本的订票程序里面有个验证码识别功能,用tesseract-ocr来识别验证码的,如果验证码不是很复杂识别效果还可以。 开发环境 vs2008 开发语言C# 使用方法很简单 1.下载tesseract 的.net 类库tessnet2_32.dll ,添加引用。 http://www.pixel-technology.com/freeware/tessnet2/ 2.下载tesseract 相对应的语言包。 http://code.google.com/p/tesseract-ocr/downloads/list 3.调用tesseract 的方法进行识别。 具体代码 1.读取网上的验证码到pictureBox中 //string url = "https://dynamic.12306.cn/otsweb/passCodeAction.do?rand=lrand"; string url = "http://static.baixing.net/pages/mobile.php?c=bcqsFelX+vKQcrnIbhyDYQ==/2.jpg"; HttpWebRequest request = WebRequest.Create(url) as HttpWebRequest; HttpWebResponse response = request.GetResponse() as HttpWebResponse; System.IO.Stream responseStream = response.GetResponseStream(); this.pictureBox1.Image = Image.FromStream(responseStream); 2.OCR类 public class Ocr { public void DumpResult(List result) { foreach (tessnet2.Word word in result) //Console.WriteLine("{0} : {1}", word.Confidence, word.Text); MessageBox.Show(string.Format("{0} : {1}", word.Confidence, word.Text)); } public List DoOCRNormal(Bitmap image, string lang) { tessnet2.Tesseract ocr = new tessnet2.Tesseract(); ocr.Init(null, lang, false); List result = ocr.DoOCR(image, Rectangle.Empty); DumpResult(result); return result; } System.Threading.ManualResetEvent m_event; public void DoOCRMultiThred(Bitmap image, string lang) { tessnet2.Tesseract ocr = new tessnet2.Tesseract(); ocr.Init(null, lang, false); // If the OcrDone delegate is not null then this'll be the multithreaded version ocr.OcrDone = new tessnet2.Tesseract.OcrDoneHandler(Finished); // For event to work, must use the multithreaded version ocr.ProgressEvent += new tessnet2.Tesseract.ProgressHandler(ocr_ProgressEvent); m_event = new ManualResetEvent(false); ocr.DoOCR(image, Rectangle.Empty); // Wait here it's finished m_event.WaitOne(); } public void Finished(List result) { DumpResult(result); m_event.Set(); } void ocr_ProgressEvent(int percent) { Console.WriteLine("{0}% progression", percent); } } 3.调用ocr类的方法识别验证码 Ocr ocr = new Ocr(); //using (Bitmap bmp = new Bitmap(@"D:\temp\ocr\b1.bmp")) using (Bitmap bmp = new Bitmap(this.pictureBox1.Image)) { tessnet2.Tesseract tessocr = new tessnet2.Tesseract(); tessocr.SetVariable("tessedit_char_whitelist", "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ"); tessocr.Init(null, "eng", false); tessocr.GetThresholdedImage(bmp, Rectangle.Empty).Save(System.Environment.GetEnvironmentVariable("TEMP") + "\\" + Guid.NewGuid().ToString() + ".bmp"); // Tessdata directory must be in the directory than this exe //Console.WriteLine("Multithread version"); //ocr.DoOCRMultiThred(bmp, "eng"); //Console.WriteLine("Normal version"); ocr.DoOCRNormal(bmp, "eng"); } 不足之处,如果验证码比较复杂,识别效果不太好,为了提高验证率,可以自己进行训练。具体可参考http://code.google.com/p/tesseract-ocr/ 如果你发现有什么不合理的,需要改进的地方,或者你有什么更好的实现方法邮件联系328452421@qq.com(qq常年不在线,邮件联系) 朱晓 。相互交流 谢谢 http://blog.****.net/xiaoxiao108/article/details/7226120