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最近研究C#相關(guān)的OCR技術(shù),圖像識別一般C和C++這種底層語言做的比較多,C#主要是依托一些封裝好的組件進行調(diào)用,這里介紹一種身份證識別的方法。
環(huán)境搭建
下載地址:EmguCV官網(wǎng)
在File類別下下載這個EXE,進行安裝,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#項目中,x64,x86,tessdata對應(yīng)OCR識別的類庫和語言庫,我tessdata中已添加中文語言包,將這三個文件夾放入程序執(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
不得不說這個類庫唯一弊端就是文字識別率太低,圖像識別效果也不太好
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) { //第一個參數(shù)是語言包文件夾的地址,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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