最近研究C#相關(guān)的OCR技術(shù)，圖像識(shí)別一般C和C++這種底層語(yǔ)言做的比較多，C#主要是依托一些封裝好的組件進(jìn)行調(diào)用，這里介紹一種身份證識(shí)別的方法。
環(huán)境搭建
下載地址：EmguCV官網(wǎng)
在File類別下下載這個(gè)EXE，進(jìn)行安裝，安裝后在目錄下能找相應(yīng)組件，還有些應(yīng)用的案例。
dll文件夾中的dll引用到C#項(xiàng)目中，x64，x86，tessdata對(duì)應(yīng)OCR識(shí)別的類庫(kù)和語(yǔ)言庫(kù)，我tessdata中已添加中文語(yǔ)言包，將這三個(gè)文件夾放入程序執(zhí)行文件夾中。
Demo
自己做的小Demo如圖：身份證圖片是百度上下載的
不得不說(shuō)這個(gè)類庫(kù)唯一弊端就是文字識(shí)別率太低，圖像識(shí)別效果也不太好
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)
{
//第一個(gè)參數(shù)是語(yǔ)言包文件夾的地址，不寫默認(rèn)在執(zhí)行文件夾下
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 = "請(qǐng)選擇圖片";
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>
/// 旋轉(zhuǎn)校正
/// </summary>
/// <param name="imageInput"></param>
/// <returns></returns>
private Image<Gray, Byte> randon(Image<Gray, Byte> imageInput)//圖像投影旋轉(zhuǎn)法傾斜校正子函數(shù)定義
{
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度范圍內(nèi)的調(diào)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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