PaddleOCRSharp的使用与Aspose.ocr 和Tesseract对比

在同类里面尝试了Aspose.ocr 和Tesseract，效果都没有PaddleOCR好。

感觉是PaddleOCR》Aspose.ocr 》Tesseract

首先下载

 PaddleOCRSharp

然后调用，

cpu推理。

using PaddleOCRSharp;
using System.Text;
using System.Windows.Forms;

namespace WinFormsApp14
{
    public partial class Form1 : Form
    {
        public Form1()
        {
            InitializeComponent();
            engine = CreateOCRParameter();// 这个只能引用一次，否则会出现内存一直增加的问题
        }
        public PaddleOCREngine engine;
        public PaddleOCREngine CreateOCRParameter()
        {
            OCRParameter oCRParameter = new OCRParameter();
            //oCRParameter.cpu_math_library_num_threads = 6;//预测并发线程数
            // oCRParameter.enable_mkldnn = true;//web部署该值建议设置为0,否则出错，内存如果使用很大，建议该值也设置为0.
            // oCRParameter.cls = false; //是否执行文字方向分类；默认false
            // oCRParameter.det = true;//是否开启方向检测，用于检测识别180旋转
            // oCRParameter.use_angle_cls = true;//是否开启方向检测，用于检测识别180旋转
            // oCRParameter.det_db_score_mode = true;//是否使用多段线，即文字区域是用多段线还是用矩形，
            //oCRParameter.det_db_unclip_ratio = 1.6f;
            //  oCRParameter.max_side_len = 960;
            OCRModelConfig config = null;
            /*
            OCRModelConfig config = new OCRModelConfig();
            string root = Environment.CurrentDirectory;
            string modelPathroot = root + @"\inference";
            config.det_infer = modelPathroot + @"\ch_PP-OCRv3_det_infer";
            config.cls_infer = modelPathroot + @"\ch_ppocr_mobile_v2.0_cls_infer";
            config.rec_infer = modelPathroot + @"\ch_PP-OCRv3_rec_infer";
            config.keys = modelPathroot + @"\ppocr_keys.txt";
            */
            PaddleOCREngine engine = new PaddleOCREngine(config, oCRParameter);
            return engine;
        }


        private void button1_Click(object sender, EventArgs e)
        {
            OpenFileDialog openFileDialog1 = new OpenFileDialog();
            richTextBox1.Text = "";
            openFileDialog1.FileName = "";
            openFileDialog1.Filter = "所有文件(*.*)|*.*";
            if (openFileDialog1.ShowDialog() == DialogResult.OK)
            {
                OCRResult ocrResult = engine.DetectText(openFileDialog1.FileName);
                StringBuilder sb1 = new StringBuilder();
                foreach (var i in ocrResult.TextBlocks)
                {
                    sb1.Append(i.Text + "\r\n");

                }
                richTextBox1.AppendText(sb1.ToString());
             
            }

        }
    }
}

基本都能识别，就是{}识别不怎么好。