IronOCR與Dynamsoft OCR的比較

using IronOcr;
using System.Drawing;

class Program
{
    static void Main(string[] args)
    {
        // Create an instance of IronTesseract
        var ocr = new IronTesseract();

        using (var input = new OcrInput())
        {
            // Define content area of interest
            var contentArea = new Rectangle() { X = 215, Y = 1250, Height = 280, Width = 1335 };

            // Add the specific region to the input
            input.AddImage("img/ComSci.png", contentArea);

            // Perform OCR operation
            var result = ocr.Read(input);

            // Output recognized text to console
            Console.WriteLine(result.Text);
        }
    }
}

Imports IronOcr
Imports System.Drawing

Friend Class Program
	Shared Sub Main(ByVal args() As String)
		' Create an instance of IronTesseract
		Dim ocr = New IronTesseract()

		Using input = New OcrInput()
			' Define content area of interest
			Dim contentArea = New Rectangle() With {
				.X = 215,
				.Y = 1250,
				.Height = 280,
				.Width = 1335
			}

			' Add the specific region to the input
			input.AddImage("img/ComSci.png", contentArea)

			' Perform OCR operation
			Dim result = ocr.Read(input)

			' Output recognized text to console
			Console.WriteLine(result.Text)
		End Using
	End Sub
End Class

private void button1_Click(object sender, EventArgs e) 
{
    OpenFileDialog filedlg = new OpenFileDialog(); 
    if (filedlg.ShowDialog() == DialogResult.OK) 
    { 
        dynamicDotNetTwain1.LoadImage(filedlg.FileName);
        // Choose an image from your local disk and load it into Dynamic .NET TWAIN
    } 
}

private void dynamicDotNetTwain1_OnImageAreaSelected(short sImageIndex, int left, int top, int right, int bottom) 
{
    dynamicDotNetTwain1.OCRTessDataPath = "../../"; 
    dynamicDotNetTwain1.OCRLanguage = "eng";
    OcrResultFormat ocrResultFormat = Dynamsoft.DotNet.TWAIN.OCR.ResultFormat.Text;

    byte [] sbytes = dynamicDotNetTwain1.OCR(dynamicDotNetTwain1.CurrentImageIndexInBuffer, left, top, right, bottom);
    // OCR the selected area of the image

    if (sbytes != null) 
    { 
        SaveFileDialog filedlg = new SaveFileDialog(); 
        filedlg.Filter = "Text File(*.txt)| *.txt"; 
        if (filedlg.ShowDialog() == DialogResult.OK) 
        {
            FileStream fs = File.OpenWrite(filedlg.FileName); 
            fs.Write(sbytes, 0, sbytes.Length);
            // Save the OCR result as a text file
            fs.Close(); 
        }
        MessageBox.Show("OCR successful");
    } 
    else 
    {
        MessageBox.Show(dynamicDotNetTwain1.ErrorString); 
    }
}

Private Sub button1_Click(ByVal sender As Object, ByVal e As EventArgs)
	Dim filedlg As New OpenFileDialog()
	If filedlg.ShowDialog() = DialogResult.OK Then
		dynamicDotNetTwain1.LoadImage(filedlg.FileName)
		' Choose an image from your local disk and load it into Dynamic .NET TWAIN
	End If
End Sub

Private Sub dynamicDotNetTwain1_OnImageAreaSelected(ByVal sImageIndex As Short, ByVal left As Integer, ByVal top As Integer, ByVal right As Integer, ByVal bottom As Integer)
	dynamicDotNetTwain1.OCRTessDataPath = "../../"
	dynamicDotNetTwain1.OCRLanguage = "eng"
	Dim ocrResultFormat As OcrResultFormat = Dynamsoft.DotNet.TWAIN.OCR.ResultFormat.Text

	Dim sbytes() As Byte = dynamicDotNetTwain1.OCR(dynamicDotNetTwain1.CurrentImageIndexInBuffer, left, top, right, bottom)
	' OCR the selected area of the image

	If sbytes IsNot Nothing Then
		Dim filedlg As New SaveFileDialog()
		filedlg.Filter = "Text File(*.txt)| *.txt"
		If filedlg.ShowDialog() = DialogResult.OK Then
			Dim fs As FileStream = File.OpenWrite(filedlg.FileName)
			fs.Write(sbytes, 0, sbytes.Length)
			' Save the OCR result as a text file
			fs.Close()
		End If
		MessageBox.Show("OCR successful")
	Else
		MessageBox.Show(dynamicDotNetTwain1.ErrorString)
	End If
End Sub

import cv2
import numpy as np
import math
from PIL import Image

def deskew():
    src = cv2.imread("neg.jpg", cv2.IMREAD_COLOR)
    gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY)
    kernel = np.ones((5,5), np.uint8)
    erode_img = cv2.erode(gray, kernel)
    eroDil = cv2.dilate(erode_img, kernel)
    show_and_wait_key("eroDil", eroDil)

    canny = cv2.Canny(eroDil, 50, 150)
    show_and_wait_key("canny", canny)

    lines = cv2.HoughLinesP(canny, 0.8, np.pi / 180, 90, minLineLength=100, maxLineGap=10)
    drawing = np.zeros(src.shape[:], dtype=np.uint8)

    maxY = 0
    degree_of_bottomline = 0
    index = 0
    for line in lines:
        x1, y1, x2, y2 = line[0]
        cv2.line(drawing, (x1, y1), (x2, y2), (0, 255, 0), 1, lineType=cv2.LINE_AA)
        k = float(y1-y2)/(x1-x2)
        degree = np.degrees(math.atan(k))
        if index == 0:
            maxY = y1
            degree_of_bottomline = degree
        else:        
            if y1 > maxY:
                maxY = y1
                degree_of_bottomline = degree
        index += 1
    show_and_wait_key("houghP", drawing)

    img = 圖片。fromarray(src)
    rotate_img = img.rotate(degree_of_bottomline)
    rotate_img_cv = np.array(rotate_img)
    cv2.imshow("rotateImg", rotate_img_cv)
    cv2.imwrite("deskewed.jpg", rotate_img_cv)
    cv2.waitKey()

def show_and_wait_key(win_name, img):
    cv2.imshow(win_name, img)
    cv2.waitKey()

if __name__ == "__main__":
    deskew()

using IronOcr;

class Program
{
    static void Main(string[] args)
    {
        var ocr = new IronTesseract();

// Configuration for speed tuning
        ocr.Configuration.BlackListCharacters = "~`$#^*_}{][|\\";
        ocr.Configuration.PageSegmentationMode = TesseractPageSegmentationMode.Auto;
        ocr.Configuration.TesseractVersion = TesseractVersion.Tesseract5;
        ocr.Configuration.EngineMode = TesseractEngineMode.LstmOnly;
        ocr.Language = OcrLanguage.EnglishFast;

        using (var input = new OcrInput(@"img\Potter.tiff"))
        {
            var result = ocr.Read(input);
            Console.WriteLine(result.Text);
        }
    }
}

Imports IronOcr

Friend Class Program
	Shared Sub Main(ByVal args() As String)
		Dim ocr = New IronTesseract()

' Configuration for speed tuning
		ocr.Configuration.BlackListCharacters = "~`$#^*_}{][|\"
		ocr.Configuration.PageSegmentationMode = TesseractPageSegmentationMode.Auto
		ocr.Configuration.TesseractVersion = TesseractVersion.Tesseract5
		ocr.Configuration.EngineMode = TesseractEngineMode.LstmOnly
		ocr.Language = OcrLanguage.EnglishFast

		Using input = New OcrInput("img\Potter.tiff")
			Dim result = ocr.Read(input)
			Console.WriteLine(result.Text)
		End Using
	End Sub
End Class