最近研究C#相关的OCR技术，图像识别一般C和C++这种底层语言做的比较多，C#主要是依托一些封装好的组件进行调用，这里介绍一种身份证识别的方法。

环境搭建

下载地址：EmguCV官网

在File类别下下载这个EXE，进行安装，安装后在目录下能找相应组件，还有些应用的案例。

dll文件夹中的dll引用到C#项目中，x64，x86，tessdata对应OCR识别的类库和语言库，我tessdata中已添加中文语言包，将这三个文件夹放入程序执行文件夹中。

Demo

自己做的小Demo如图：身份证图片是百度上下载的

不得不说这个类库唯一弊端就是文字识别率太低，图像识别效果也不太好

using System;using System.Collections.Generic;using System.ComponentModel;using System.Data;using System.Drawing;using System.Linq;using System.Text;using System.Threading.Tasks;using System.Windows.Forms;using Emgu.CV;using Emgu.CV.OCR;using Emgu.CV.Structure;using System.IO;namespace EmguCV{ public partial class Form1 : Form { Image<Gray, Byte> imageThreshold; public Form1() { InitializeComponent(); pictureBox1.Enabled = false; } private void Form1_Load(object sender, EventArgs e) { } private void button1_Click(object sender, EventArgs e) { //第一个参数是语言包文件夹的地址，不写默认在执行文件夹下 Tesseract _ocr = new Tesseract(@"", "chi_sim", OcrEngineMode.TesseractOnly); _ocr.SetImage(imageThreshold); _ocr.Recognize(); String text = _ocr.GetUTF8Text(); this.textBox1.Text = text; } private void pictureBox2_Click(object sender, EventArgs e) { OpenFileDialog of = new OpenFileDialog(); of.Title = "请选择图片"; if (of.ShowDialog() == DialogResult.OK) { string file = of.FileName; Image img = Image.FromFile(file); pictureBox1.Image = img; } Bitmap bitmap = (Bitmap)this.pictureBox1.Image; Image<Bgr, Byte> imageSource = new Image<Bgr, byte>(bitmap); Image<Gray, Byte> imageGrayscale = imageSource.Convert<Gray, Byte>(); imageGrayscale = randon(imageGrayscale); imageThreshold = imageGrayscale.ThresholdBinary(new Gray(100), new Gray(255)); this.pictureBox2.Image = imageThreshold.ToBitmap(); } /// <summary> /// 旋转校正 /// </summary> /// <param name="imageInput"></param> /// <returns></returns> private Image<Gray, Byte> randon(Image<Gray, Byte> imageInput)//图像投影旋转法倾斜校正子函数定义 { int nwidth = imageInput.Width; int nheight = imageInput.Height; int sum; int SumOfCha; int SumOfChatemp = 0; int[] sumhang = new int[nheight]; Image<Gray, Byte> resultImage = imageInput; Image<Gray, Byte> ImrotaImage; //20度范围内的调整 for (int ang = -20; ang < 20; ang = ang + 1) { ImrotaImage = imageInput.Rotate(ang, new Gray(1)); for (int i = 0; i < nheight; i++) { sum = 0; for (int j = 0; j < nwidth; j++) { sum += ImrotaImage.Data[i, j, 0]; } sumhang[i] = sum; } SumOfCha = 0; for (int k = 0; k < nheight - 1; k++) { SumOfCha = SumOfCha + (Math.Abs(sumhang[k] - sumhang[k + 1])); } if (SumOfCha > SumOfChatemp) { resultImage = ImrotaImage; SumOfChatemp = SumOfCha; } } return resultImage; } private void pictureBox1_Click(object sender, EventArgs e) { } }}

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