How can we achieve OCR recognition in VB?

2 years ago
Sophia Anderson
3 minutes

To implement OCR recognition in VB, you need to use an OCR library or API to recognize text in images. One method to achieve OCR recognition is as follows: 1. Import the OCR library or API: Firstly, you need to import a suitable library or API for OCR recognition into your VB project. Popular OCR libraries include Tesseract and IronOCR, while common OCR APIs include Google Cloud Vision API and Microsoft Azure Cognitive Services OCR API. 2. Load the image: Use VB code to load the image file for OCR recognition.

Dim image As Bitmap = New Bitmap("image.jpg")

3. Utilize an OCR library or API for recognition: Use the appropriate functions or methods from the selected OCR library or API to perform OCR recognition. For example, utilize sample code from the Tesseract library.

Dim ocrEngine As New TesseractEngine(@"tessdataFolderPath", "eng", EngineMode.Default)
Dim ocrResult = ocrEngine.Process(image)
Dim text As String = ocrResult.GetText()

Sample code using Google Cloud Vision API:

Dim credential As New GoogleCredential.FromFile("serviceAccountKey.json")
Dim client As VisionServiceClient = VisionServiceClient.Create(credential)
Dim imageByteString As ByteString = ByteString.CopyFrom(IO.File.ReadAllBytes("image.jpg"))
Dim image As New Image() With {
    .Content = imageByteString
}
Dim response As BatchAnnotateImagesResponse = client.BatchAnnotateImages(
New BatchAnnotateImagesRequest() With {
    .Requests = {New AnnotateImageRequest() With {
        .Image = image,
        .Features = {New Feature() With {
            .Type = Feature.Types.Type.TextDetection
        }}
    }}
})
Dim annotation As TextAnnotation = response.Responses(0).TextAnnotations(0)
Dim text As String = annotation.Description

Process identification results: Depending on needs, further processing or analysis can be done on the text results recognized by OCR. The example code above is just one way to implement OCR recognition, and the specific implementation may vary depending on the chosen OCR library or API. Please select the appropriate OCR library or API based on specific requirements, and refer to the corresponding documentation and example code for implementation.

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