Northern Kurdish OCR in C# and .NET
IronOCR is a C# software component allowing .NET coders to read text from images and PDF documents in 126 languages, including Northern Kurdish.
It is an advanced fork of Tesseract, built exclusively for .NET developers and regularly outperforms other Tesseract engines for both speed and accuracy.
Contents of IronOcr.Languages.NorthernKurdish
This package contains 70 OCR languages for .NET:
- NorthernKurdish
- NorthernKurdishBest
- NorthernKurdishFast
Download
Northern Kurdish Language Pack [Kurmanji]
Installation
The first thing we have to do is install the Northern Kurdish OCR package into your .NET project.
Code Example
This C# code example reads Northern Kurdish text from an image or PDF document.
// Ensure that the IronOCR package and the Northern Kurdish language package are installed
using IronOcr;
var Ocr = new IronTesseract();
// Set the OCR language to Northern Kurdish
Ocr.Language = OcrLanguage.NorthernKurdish;
// Use a using statement to ensure resources are disposed of correctly
// Specify the path to the image or PDF file you want to process
using (var Input = new OcrInput(@"images\NorthernKurdish.png"))
{
// Read the text from the input image or PDF
var Result = Ocr.Read(Input);
// Retrieve the recognized text
var AllText = Result.Text;
// AllText now contains the Northern Kurdish text extracted from the image
}' Ensure that the IronOCR package and the Northern Kurdish language package are installed
Imports IronOcr
Private Ocr = New IronTesseract()
' Set the OCR language to Northern Kurdish
Ocr.Language = OcrLanguage.NorthernKurdish
' Use a using statement to ensure resources are disposed of correctly
' Specify the path to the image or PDF file you want to process
Using Input = New OcrInput("images\NorthernKurdish.png")
' Read the text from the input image or PDF
Dim Result = Ocr.Read(Input)
' Retrieve the recognized text
Dim AllText = Result.Text
' AllText now contains the Northern Kurdish text extracted from the image
End Using
Curtis Chau holds a Bachelor’s degree in Computer Science (Carleton University) and specializes in front-end development with expertise in Node.js, TypeScript, JavaScript, and React. Passionate about crafting intuitive and aesthetically pleasing user interfaces, Curtis enjoys working with modern frameworks and creating well-structured, visually appealing manuals.
