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Aspose.OCR for .NET 21.9 - Release Notes
This page contains release notes information for Aspose.OCR for .NET 21.9
GPU version: 21.6.0
All Features
Key | Summary | Category |
---|---|---|
OCRNET-392 | Multithreading support | Enhancement |
OCRNET-398 | Recognize list of images | Enhancement |
OCRNET-397 | Optimization filters | Enhancement |
Enhancements
- added multithreading support
- added customer image correction using preprocessing filters
- added ability for batch recognition for images from the list
Public API and Backwards Incompatible Changes
New API
- added new property in the RecognitionSettings class: ThreadsCount
- added new property in the RecognitionSettings class: PreprocessingFilters
- added new API methods: - PreprocessImage(MemoryStream stream, PreprocessingFilter filters) - PreprocessImage(string fullPath, PreprocessingFilter filters)
Removed APIs
Will be deprecated
Usage Example
using Aspose.OCR;
namespace ProgramOCR
{
class Program
{
static void Main(string[] args)
{
// Get API
AsposeOcr api = new AsposeOcr();
// Create license
License lic = new License();
// Set license
lic.SetLicense("Aspose.Total.lic");
// Get image file for recognize
string imgage = "img.png";
// set filters as you need
PreprocessingFilter filters = new PreprocessingFilter
{
PreprocessingFilter.Binarize(),
PreprocessingFilter.Threshold(220),
PreprocessingFilter.ToGrayScale(),
PreprocessingFilter.Invert(),
PreprocessingFilter.Rotate(20),
PreprocessingFilter.Resize(3000,3000, Aspose.OCR.Filters.InterpolationFilterType.Box),
PreprocessingFilter.Scale(0.5f),
PreprocessingFilter.Dilate(),
};
// case 1
// preprocess input image and get the MemoryStream with output image after preprocessing. Then use RecognizeImage.
MemoryStream ms = api.PreprocessImage("imgs/portug2.png", filters);
// save image into file system as you need
using (FileStream file = new FileStream("result.png", FileMode.Create, System.IO.FileAccess.Write))
{
ms.WriteTo(file);
}
// recognize process
var res = api.RecognizeImage(ms, new RecognitionSettings());
Console.WriteLine(res.RecognitionText);
// case 2
// use filters as settings in recognition process
var res2 = api.RecognizeImage("imgs/portug2.png", new RecognitionSettings { PreprocessingFilters = filters });
Console.WriteLine(res2.RecognitionText);
// Recognize list of images
RecognitionResult[] resultList = api.RecognizeMultipleImages(
new List<string>
{
"imageFirst.png",
"imageSecond.jpg"
},
new RecognitionSettings
{
DetectAreas = true,
LinesFiltration = false,
ThreadsCount = 0
});
// Set threads number
RecognitionResult result = api.RecognizeImage(image, new RecognitionSettings { ThreadsCount = 2 });
}
}
}