汉字识别在将近20年的研究开发过程中,中国大陆先后有十几个 研究单位开展过汉字识别的研发工作,并得到了国家“七五攻 关”计划、863计划、国家自然科学基金的大力支持,目前已有 一些产品面向市场并取得了可喜的销售成绩,如“汉王笔”、 “文通笔”、“汉王 OCR”等。 Tesseract的OCR引擎最先由HP实验室于1985年开始研发,至1995年时已经成为OCR业内最准确的三款识别引擎之一。之后,HP将Tesseract贡 献给开源软件业,让其重焕新生--2005年,Tesseract由美国内华达州信息技术研究所获得,并求诸于Google对Tesseract进行改进、消除 Bug、优化工作。 本文是自己做的一个小程序，通过摄像头采集的数据，然后对图片进行处理，包括灰度二制化，然后用tesseract进行解析正确率可以达到70%以上。 using System;using System.Collections.Generic;using System.ComponentModel;using System.Data;using System.Drawing;using System.Text;using System.Windows.Forms;using System.IO;using System.Linq;using Emgu.CV;using Emgu.CV.CvEnum;using Emgu.CV.Structure;using Emgu.CV.UI; /*Trace*/using System.Diagnostics; namespace SoundVideo{ public partial class Form1 : Form { Camera wc; string ImgFileName; string TxtFileName; string TxtMenuInfo; int ImgNum = 0; Image<Gray, Byte> img1; public Form1() { InitializeComponent(); } /************************************************************************/ /* 读写ini文件函数 */ /************************************************************************/ private void Form1_Load(object sender, EventArgs e) { try { //this.btnPlay.Enabled = false; //this.btnClose.Enabled = true; //panelPreview.Size = new Size(330,330); wc = new Camera(pictureBox1.Handle, pictureBox1.Width, pictureBox1.Height); this.label1.Text = "状态显示"; wc.StartCamera(pictureBox1.Width, pictureBox1.Height); } catch { MessageBox.Show("打开摄像头有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } } private void btnPlay_Click(object sender, EventArgs e) { try { // this.btnPlay.Enabled = false; //this.btnClose.Enabled = true; wc = new Camera(pictureBox1.Handle, pictureBox1.Width, pictureBox1.Height); wc.StartCamera(300, 200); } catch { MessageBox.Show("打开摄像头有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } } private void btnScroll_Click(object sender, EventArgs e) { try { wc.capImage(wc.lwndC, "d://test.bmp"); } catch { MessageBox.Show("抓图有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } img1 = new Image<Gray, Byte>("d://test.bmp"); imageBox1.Image = img1; } private void btnStopCap_Click(object sender, EventArgs e) { try { wc.stopCapScope(wc.lwndC); } catch { MessageBox.Show("停止摄像有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } } private void btnStartCap_Click(object sender, EventArgs e) { try { wc.capScope(wc.lwndC, "d://test.avi"); } catch { MessageBox.Show("开始摄像有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } } private void btnClose_Click(object sender, EventArgs e) { try { //this.btnPlay.Enabled = true; //this.btnClose.Enabled = false; wc.CloseCamera(); } catch { MessageBox.Show("关闭摄像头有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } } private void btnAnalys_Click(object sender, EventArgs e) { ImgFileName = "d://test.bmp"; if (File.Exists("d://test1.bmp")) { ImgFileName = "d://test1.bmp"; } TxtFileName = "d://test"; TxtMenuInfo = "d://MenuInfo.txt"; this.txtBoxOutput.Text = " "; this.label1.Text = "分析中......"; this.label1.Update(); System.Diagnostics.Process OCR = new System.Diagnostics.Process(); OCR.StartInfo.FileName = "tesseract.exe"; OCR.StartInfo.Arguments = ImgFileName + " " + TxtFileName + " -l chi_sim"; OCR.StartInfo.WindowStyle = System.Diagnostics.ProcessWindowStyle.Hidden; OCR.Start(); while (!OCR.HasExited) { } FileStream OCRResultFile = new FileStream(TxtFileName + ".txt", FileMode.Open, FileAccess.Read); StreamReader OCRResult_streamReader = new StreamReader(OCRResultFile); string strLineOCR = OCRResult_streamReader.ReadToEnd(); this.txtBoxOutput.Text = strLineOCR; Trace.WriteLine("The OCR result is:"); Trace.WriteLine(strLineOCR); OCRResult_streamReader.Close(); FileStream menuFile = new FileStream(TxtMenuInfo, FileMode.Open, FileAccess.Read); StreamReader menu_streamReader = new StreamReader(menuFile); string strLineMenu = menu_streamReader.ReadLine(); this.txtBoxMatchMenu.Text = ""; int ppnum = 0; while (strLineMenu != null) { int matchNum = 0; for (int i = 0; i < strLineMenu.Length; i++) { if (strLineOCR.Contains(strLineMenu.Substring(i, 1))) { Trace.WriteLine(strLineMenu.Substring(i, 1)); matchNum = matchNum + 1; } } if (matchNum > strLineMenu.Length * 0.5) { this.txtBoxMatchMenu.Text += strLineMenu; this.txtBoxMatchMenu.Text += "/r/n"; ppnum++; } strLineMenu = menu_streamReader.ReadLine(); } this.label1.Text = "跑完了......正确率是" + ((double)ppnum / 11) * 100 + "%"; } private void ImgGrapTimer_Tick(object sender, EventArgs e) { this.labelCue.Text = "分析中……"; ImgFileName = "d://ImgAndTxt//Img" + ImgNum.ToString() + ".bmp"; TxtFileName = "d://ImgAndTxt//Txt" + ImgNum.ToString(); TxtMenuInfo = "d://MenuInfo.txt"; /*抓图*/ try { wc.capImage(wc.lwndC, ImgFileName); } catch { MessageBox.Show("抓图有误,请检查", "系统消息", MessageBoxButtons.OK, MessageBoxIcon.Information); } /*执行tesseract.exe"*/ System.Diagnostics.Process OCR = new System.Diagnostics.Process(); OCR.StartInfo.FileName = "tesseract.exe"; OCR.StartInfo.Arguments = ImgFileName + " " + TxtFileName + " -l chi_sim"; OCR.StartInfo.WindowStyle = System.Diagnostics.ProcessWindowStyle.Hidden; OCR.Start(); /*wait直到OCR分析程序跑完*/ while (!OCR.HasExited) { } /*Read OCR Result*/ FileStream OCRResultFile = new FileStream(TxtFileName + ".txt", FileMode.Open, FileAccess.Read); StreamReader OCRResult_streamReader = new StreamReader(OCRResultFile); string strLineOCR = OCRResult_streamReader.ReadToEnd(); this.txtBoxOutput.Text = strLineOCR; Trace.WriteLine("The OCR result is:"); Trace.WriteLine(strLineOCR); OCRResult_streamReader.Close(); /*Read Menu Files and Do Match*/ FileStream menuFile = new FileStream(TxtMenuInfo, FileMode.Open, FileAccess.Read); StreamReader menu_streamReader = new StreamReader(menuFile); string strLineMenu = menu_streamReader.ReadLine(); this.txtBoxMatchMenu.Text = ""; while (strLineMenu != null) { int matchNum = 0; for (int i = 0; i < strLineMenu.Length; i++) { if (strLineOCR.Contains(strLineMenu.Substring(i, 1))) { Trace.WriteLine(strLineMenu.Substring(i, 1)); matchNum = matchNum + 1; } } if (matchNum > strLineMenu.Length * 0.5) { this.txtBoxMatchMenu.Text += strLineMenu; this.txtBoxMatchMenu.Text += "/r/n"; } strLineMenu = menu_streamReader.ReadLine(); Trace.WriteLine(strLineMenu); } this.labelCue.Text = "跑完了......"; if (ImgNum < 10000) { ImgNum = ImgNum + 1; } else { ImgNum = 0; } } /* * 根据图片计算阈值 */ public double getThreshold() { img1 = new Image<Gray, Byte>("d://test.bmp"); int height = img1.Height; Console.WriteLine(height); int width = img1.Width; double threshold = 0; double sum = 0; int i; int j; for (i = 0; i < height; i++) { for (j = 0; j < width; j++) { Gray color = img1[i, j]; sum += color.Intensity; } } threshold = sum / (width * height); return threshold; } /* 滑动调整阈值 */ private void trackBar1_Scroll(object sender, EventArgs e) { int num = 0; int i; int j; int height = img1.Height; int width = img1.Width; num += trackBar1.Value; double threshold = getThreshold() * (num / 5); img1 = new Image<Gray, Byte>("d://test.bmp"); txtBoxMatchMenu.Text = " "; txtBoxOutput.Text = " "; for (i = 0; i < height; i++) { for (j = 0; j < width; j++) { Gray color = img1[i, j]; if (color.Intensity > threshold) img1[i, j] = new Gray(255); else img1[i, j] = new Gray(0); if (j > 300) { img1[i, j] = new Gray(255); } } } imageBox1.Image = img1; img1.Save("d://test1.bmp"); } } }
