C# PaddleOCR 单字识别效果

C# PaddleOCR  单字识别效果

效果

有问题和需求可以私信博主

说明

        根据《百度办公文档识别C++离线SDKV1.2用户接入文档.pdf》，使用C++封装DLL，C#调用。

背景

        为使客户、第三方开发者等能够更快速、方便的接入使用百度办公文档识别 SDK、促进百度 OCR产品赋能更多客户，特设计支持 c++语言的 Windows 高精通用文字识别 SDK，该 SDK 提供 pdf 转图文的能力和通过 pdf 识别文字并可以转存成 word 的能力。

SDK 简介

        本 SDK 适应于 Windows 平台下的人脸识别系统, ,开发者可在 vs2015 下⾯进⾏开发（推荐使⽤，不保证其他版本 vs 都兼容）。SDK 采⽤ c++的动态库 dll 的⽅式。上层 UI 框架支持主流框架如QT,MFC 等。

自动批量授权

        鉴权采用自动激活的方式进行授权，可参考 SDK 示例中，把申请到的授权 key 串码(仅支持批量授权)填入到 license 文件夹的 license.key 文件中，运行 SDK，即可自动激活生成授权文件 license.ini 在license 文件夹中。SDK 授权是通过接口方法 auth_from_file 实现，该方法参数分别是传入授权 key 的串码和授权文件 license.ini 的绝对路径。确保参数正确后，在 SDK 中运行了该方法，就会生成授权license.ini 文件。若授权正确，该方法的返回值为 0，若非 0，则为授权失败，错误原因可根据错误码参考后续文档查看。

离线授权

        离线授权，采用从 sdk 附带的 license_tool 工具，bin 文件夹的 license_tool 下，双击 LicenseTool.exe，再点击拷贝，把设备指纹拷贝到剪贴板中，到百度 OCR 官网进行离线激活，填入得到的设备指纹后，从官网下载离线授权文件，解压，形成 license.key 和 license.ini 两个文件，替换到 SDK 中的 license 文件夹中，运行 SDK，若在 SDK 的授权方法 auth_from_file 中返回 0，则为通过了授权。（具体可参考SDK 中的授权代码示例）

项目

代码

using HightOCRTest.Common;
using Newtonsoft.Json;
using OpenCvSharp;
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Drawing;
using System.IO;
using System.Text;
using System.Windows.Forms;

namespace HightOCRTest
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
        }

        string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
        string image_path = "";
        bool isDraw = false;
        static IntPtr engine;

        private void button6_Click(object sender, EventArgs e)
        {
            //授权校验 初始化引擎
            string key = "";
            string licenseKeyPath = Application.StartupPath + "\\license\\license.key";
            string licenseFile = Application.StartupPath + "\\license\\license.ini";
            int res = -1;
            string ini_path = "";

            key = File.ReadAllText(licenseKeyPath);

            res = Native.init_license(key, licenseFile);
            if (res != 0)
            {
                MessageBox.Show(res.ToString());
                return;
            }

            engine = Native.create();
            if (engine == null)
            {
                MessageBox.Show("创建引擎失败！");
                return;
            }

            ini_path = Application.StartupPath + "\\resource";
            res = Native.init(engine, "", 6);
            if (res != 0)
            {
                MessageBox.Show(res.ToString());
                return;
            }

            MessageBox.Show("初始化成功！");

            button1.Enabled = true;
            button3.Enabled = true;
            button4.Enabled = true;
            

            button6.Enabled = false;
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            //image_path = Application.StartupPath + "\\images\\1.jpg";
            image_path = Application.StartupPath + "\\test2.jpg";
            pictureBox1.Image = new Bitmap(image_path);
        }

        private void button2_Click(object sender, EventArgs e)
        {
            OpenFileDialog ofd = new OpenFileDialog();
            ofd.Filter = fileFilter;
            if (ofd.ShowDialog() != DialogResult.OK) return;
            pictureBox1.Image = null;
            image_path = ofd.FileName;
            pictureBox1.Image = new Bitmap(image_path);
            textBox1.Text = "";
        }

        StringBuilder ocr_result_texts = new StringBuilder(1024 * 10);
        StringBuilder ocr_result_words = new StringBuilder(1024 * 100);

        private void button1_Click(object sender, EventArgs e)
        {
            if (image_path == "")
            {
                return;
            }

            textBox1.Text = "";
            Application.DoEvents();

            ocr_result_texts.Clear();
            ocr_result_words.Clear();
            Mat image = new Mat(image_path);
            Stopwatch stopwatch = new Stopwatch();
            stopwatch.Start();
            int res = Native.ocr(engine, image.CvPtr, ocr_result_texts, ocr_result_words);

            stopwatch.Stop();
            double totalTime = stopwatch.Elapsed.TotalSeconds;
            textBox1.Text += $"耗时: {totalTime:F2}s";
            textBox1.Text += "\r\n-------------------\r\n";

            if (res == 0)
            {
                textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_texts.ToString()), Newtonsoft.Json.Formatting.Indented);
                textBox1.Text += "\r\n-------------------\r\n";
                textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_words.ToString()), Newtonsoft.Json.Formatting.Indented);
            }
            else
            {

                textBox1.Text = "识别失败";
            }
        }

        //绘制文字区域
        private void button3_Click(object sender, EventArgs e)
        {
            if (ocr_result_texts.Length == 0)
            {
                return;
            }

            Mat image = new Mat(image_path);
            List lt = JsonConvert.DeserializeObject>(ocr_result_texts.ToString());

            foreach (OcrResTexts item in lt)
            {
                string[] pts = item.coordinator.Split(' ');

                //多边形的顶点
                OpenCvSharp.Point[] points = new OpenCvSharp.Point[]
                {
                        new OpenCvSharp.Point(Convert.ToDouble( pts[0]), Convert.ToDouble( pts[1])),
                        new OpenCvSharp.Point(Convert.ToDouble( pts[2]), Convert.ToDouble( pts[3])),
                        new OpenCvSharp.Point(Convert.ToDouble( pts[4]), Convert.ToDouble( pts[5])),
                        new OpenCvSharp.Point(Convert.ToDouble( pts[6]), Convert.ToDouble( pts[7])),
                };

                // 绘制多边形
                Cv2.Polylines(image, new OpenCvSharp.Point[][] { points }, isClosed: true, color: new Scalar(0, 255, 0), thickness: 2);
            }

            if (pictureBox1.Image != null)
            {
                pictureBox1.Image.Dispose();
                pictureBox1.Image = null;
            }

            pictureBox1.Image = new Bitmap(image.ToMemoryStream());
            image.Dispose();

        }

        //绘制单字区域
        private void button4_Click(object sender, EventArgs e)
        {
            if (ocr_result_words.Length == 0)
            {
                return;
            }

            Mat image = new Mat(image_path);
            List lt = JsonConvert.DeserializeObject>(ocr_result_words.ToString());

            foreach (OcrResWords item in lt)
            {
                string[] pts = item.coordinator.Split(' ');

                //left top width height

                OpenCvSharp.Rect rect = new Rect((int)Convert.ToDouble(pts[0]), (int)Convert.ToDouble(pts[1]), (int)Convert.ToDouble(pts[2]), (int)Convert.ToDouble(pts[3]));

                Cv2.Rectangle(image, rect, color: new Scalar(255, 0, 0), thickness: 1);

            }
            if (pictureBox1.Image != null)
            {
                pictureBox1.Image.Dispose();
                pictureBox1.Image = null;
            }

            pictureBox1.Image = new Bitmap(image.ToMemoryStream());
            image.Dispose();

        }

        //识别小语种→
        private void button5_Click(object sender, EventArgs e)
        {
            //if (image_path == "")
            //{
            //    return;
            //}

            //textBox1.Text = "";
            //Application.DoEvents();

            //ocr_result_texts.Clear();
            //ocr_result_words.Clear();
            //Mat image = new Mat(image_path);
            //Stopwatch stopwatch = new Stopwatch();
            //stopwatch.Start();
            //int res = Native.ocr_other(engine, image.CvPtr, ocr_result_texts, ocr_result_words);

            //stopwatch.Stop();
            //double totalTime = stopwatch.Elapsed.TotalSeconds;
            //textBox1.Text += $"耗时: {totalTime:F2}s";
            //textBox1.Text += "\r\n-------------------\r\n";

            //if (res == 0)
            //{
            //    textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_texts.ToString()), Newtonsoft.Json.Formatting.Indented);
            //    textBox1.Text += "\r\n-------------------\r\n";
            //    textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_words.ToString()), Newtonsoft.Json.Formatting.Indented);
            //}
            //else
            //{

            //    textBox1.Text = "识别失败";
            //}
        }
    }
}

  1. using HightOCRTest.Common;
  2. using Newtonsoft.Json;
  3. using OpenCvSharp;
  4. using System;
  5. using System.Collections.Generic;
  6. using System.Diagnostics;
  7. using System.Drawing;
  8. using System.IO;
  9. using System.Text;
  10. using System.Windows.Forms;
  11.  
  12. namespace HightOCRTest
  13. {
  14.     public partial class Form1 : Form
  15.     {
  16.         public Form1()
  17.         {
  18.             InitializeComponent();
  19.         }
  20.  
  21.         string fileFilter = "*.*|*.bmp;*.jpg;*.jpeg;*.tiff;*.tiff;*.png";
  22.         string image_path = "";
  23.         bool isDraw = false;
  24.         static IntPtr engine;
  25.  
  26.         private void button6_Click(object sender, EventArgs e)
  27.         {
  28.             //授权校验 初始化引擎
  29.             string key = "";
  30.             string licenseKeyPath = Application.StartupPath + "\\license\\license.key";
  31.             string licenseFile = Application.StartupPath + "\\license\\license.ini";
  32.             int res = -1;
  33.             string ini_path = "";
  34.  
  35.             key = File.ReadAllText(licenseKeyPath);
  36.  
  37.             res = Native.init_license(key, licenseFile);
  38.             if (res != 0)
  39.             {
  40.                 MessageBox.Show(res.ToString());
  41.                 return;
  42.             }
  43.  
  44.             engine = Native.create();
  45.             if (engine == null)
  46.             {
  47.                 MessageBox.Show("创建引擎失败！");
  48.                 return;
  49.             }
  50.  
  51.             ini_path = Application.StartupPath + "\\resource";
  52.             res = Native.init(engine, "", 6);
  53.             if (res != 0)
  54.             {
  55.                 MessageBox.Show(res.ToString());
  56.                 return;
  57.             }
  58.  
  59.             MessageBox.Show("初始化成功！");
  60.  
  61.             button1.Enabled = true;
  62.             button3.Enabled = true;
  63.             button4.Enabled = true;
  64.             
  65.  
  66.             button6.Enabled = false;
  67.         }
  68.  
  69.         private void Form1_Load(object sender, EventArgs e)
  70.         {
  71.             //image_path = Application.StartupPath + "\\images\\1.jpg";
  72.             image_path = Application.StartupPath + "\\test2.jpg";
  73.             pictureBox1.Image = new Bitmap(image_path);
  74.         }
  75.  
  76.         private void button2_Click(object sender, EventArgs e)
  77.         {
  78.             OpenFileDialog ofd = new OpenFileDialog();
  79.             ofd.Filter = fileFilter;
  80.             if (ofd.ShowDialog() != DialogResult.OK) return;
  81.             pictureBox1.Image = null;
  82.             image_path = ofd.FileName;
  83.             pictureBox1.Image = new Bitmap(image_path);
  84.             textBox1.Text = "";
  85.         }
  86.  
  87.         StringBuilder ocr_result_texts = new StringBuilder(1024 * 10);
  88.         StringBuilder ocr_result_words = new StringBuilder(1024 * 100);
  89.  
  90.         private void button1_Click(object sender, EventArgs e)
  91.         {
  92.             if (image_path == "")
  93.             {
  94.                 return;
  95.             }
  96.  
  97.             textBox1.Text = "";
  98.             Application.DoEvents();
  99.  
  100.             ocr_result_texts.Clear();
  101.             ocr_result_words.Clear();
  102.             Mat image = new Mat(image_path);
  103.             Stopwatch stopwatch = new Stopwatch();
  104.             stopwatch.Start();
  105.             int res = Native.ocr(engine, image.CvPtr, ocr_result_texts, ocr_result_words);
  106.  
  107.             stopwatch.Stop();
  108.             double totalTime = stopwatch.Elapsed.TotalSeconds;
  109.             textBox1.Text += $"耗时: {totalTime:F2}s";
  110.             textBox1.Text += "\r\n-------------------\r\n";
  111.  
  112.             if (res == 0)
  113.             {
  114.                 textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_texts.ToString()), Newtonsoft.Json.Formatting.Indented);
  115.                 textBox1.Text += "\r\n-------------------\r\n";
  116.                 textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_words.ToString()), Newtonsoft.Json.Formatting.Indented);
  117.             }
  118.             else
  119.             {
  120.  
  121.                 textBox1.Text = "识别失败";
  122.             }
  123.         }
  124.  
  125.         //绘制文字区域
  126.         private void button3_Click(object sender, EventArgs e)
  127.         {
  128.             if (ocr_result_texts.Length == 0)
  129.             {
  130.                 return;
  131.             }
  132.  
  133.             Mat image = new Mat(image_path);
  134.             List<OcrResTexts> lt = JsonConvert.DeserializeObject<List<OcrResTexts>>(ocr_result_texts.ToString());
  136.             foreach (OcrResTexts item in lt)
  137.             {
  138.                 string[] pts = item.coordinator.Split(' ');
  139.  
  140.                 //多边形的顶点
  141.                 OpenCvSharp.Point[] points = new OpenCvSharp.Point[]
  142.                 {
  143.                         new OpenCvSharp.Point(Convert.ToDouble( pts[0]), Convert.ToDouble( pts[1])),
  144.                         new OpenCvSharp.Point(Convert.ToDouble( pts[2]), Convert.ToDouble( pts[3])),
  145.                         new OpenCvSharp.Point(Convert.ToDouble( pts[4]), Convert.ToDouble( pts[5])),
  146.                         new OpenCvSharp.Point(Convert.ToDouble( pts[6]), Convert.ToDouble( pts[7])),
  147.                 };
  148.  
  149.                 // 绘制多边形
  150.                 Cv2.Polylines(image, new OpenCvSharp.Point[][] { points }, isClosed: true, color: new Scalar(0, 255, 0), thickness: 2);
  151.             }
  152.  
  153.             if (pictureBox1.Image != null)
  154.             {
  155.                 pictureBox1.Image.Dispose();
  156.                 pictureBox1.Image = null;
  157.             }
  158.  
  159.             pictureBox1.Image = new Bitmap(image.ToMemoryStream());
  160.             image.Dispose();
  161.  
  162.         }
  163.  
  164.         //绘制单字区域
  165.         private void button4_Click(object sender, EventArgs e)
  166.         {
  167.             if (ocr_result_words.Length == 0)
  168.             {
  169.                 return;
  170.             }
  171.  
  172.             Mat image = new Mat(image_path);
  173.             List<OcrResWords> lt = JsonConvert.DeserializeObject<List<OcrResWords>>(ocr_result_words.ToString());
  175.             foreach (OcrResWords item in lt)
  176.             {
  177.                 string[] pts = item.coordinator.Split(' ');
  178.  
  179.                 //left top width height
  180.  
  181.                 OpenCvSharp.Rect rect = new Rect((int)Convert.ToDouble(pts[0]), (int)Convert.ToDouble(pts[1]), (int)Convert.ToDouble(pts[2]), (int)Convert.ToDouble(pts[3]));
  182.  
  183.                 Cv2.Rectangle(image, rect, color: new Scalar(255, 0, 0), thickness: 1);
  184.  
  185.             }
  186.             if (pictureBox1.Image != null)
  187.             {
  188.                 pictureBox1.Image.Dispose();
  189.                 pictureBox1.Image = null;
  190.             }
  191.  
  192.             pictureBox1.Image = new Bitmap(image.ToMemoryStream());
  193.             image.Dispose();
  194.  
  195.         }
  196.  
  197.         //识别小语种→
  198.         private void button5_Click(object sender, EventArgs e)
  199.         {
  200.             //if (image_path == "")
  201.             //{
  202.             //    return;
  203.             //}
  204.  
  205.             //textBox1.Text = "";
  206.             //Application.DoEvents();
  207.  
  208.             //ocr_result_texts.Clear();
  209.             //ocr_result_words.Clear();
  210.             //Mat image = new Mat(image_path);
  211.             //Stopwatch stopwatch = new Stopwatch();
  212.             //stopwatch.Start();
  213.             //int res = Native.ocr_other(engine, image.CvPtr, ocr_result_texts, ocr_result_words);
  214.  
  215.             //stopwatch.Stop();
  216.             //double totalTime = stopwatch.Elapsed.TotalSeconds;
  217.             //textBox1.Text += $"耗时: {totalTime:F2}s";
  218.             //textBox1.Text += "\r\n-------------------\r\n";
  219.  
  220.             //if (res == 0)
  221.             //{
  222.             //    textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_texts.ToString()), Newtonsoft.Json.Formatting.Indented);
  223.             //    textBox1.Text += "\r\n-------------------\r\n";
  224.             //    textBox1.Text += JsonConvert.SerializeObject(JsonConvert.DeserializeObject(ocr_result_words.ToString()), Newtonsoft.Json.Formatting.Indented);
  225.             //}
  226.             //else
  227.             //{
  228.  
  229.             //    textBox1.Text = "识别失败";
  230.             //}
  231.         }
  232.     }
  233. }

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