Analyze the layout of document image using Tesseract OCR in .NET

Blog category: OCR.NET

February 17, 2022

The recognition of text from document image consists of two steps. The first step analyzes the layout of document image, i.e. it is determined the position of paragraphs, text lines, words and symbols in the document image. The second step performs character recognition in the document image and separates the characters into paragraphs, text lines, and words.

VintaSoft Imaging .NET SDK with VintaSoft OCR .NET Plug-in allows to recognize text in document image using TesseractOcr.Recognize method. This method does both steps of text recognition, i.e. analyzes layout and performs character recognition.

Sometimes there is a need to analyze the position of paragraphs, text lines, words and symbols in the document image without recognition of characters.
VintaSoft Imaging .NET SDK with VintaSoft OCR .NET Plug-in allows to analyze the layout of document image (determine the position of paragraphs, text lines, words and symbols in the document image) using TesseractOcr.AnalyzeLayout method. The TesseractOcr.AnalyzeLayout method works faster than TesseractOcr.Recognize method, because TesseractOcr.AnalyzeLayout method analyzes the layout of the document image, but does not perform character recognition.

Here is C# code, which demonstrates how to analyze the layout of document image using Tesseract OCR engine (TesseractOcr.AnalyzeLayout method):
/// <summary>
/// Analyzes page layout using Tesseract OCR engine.
/// </summary>
/// <param name="filename">The name of document image file.</param>
public static void AnalyzePageLayoutUsingTesseractOCR(string filename)
{
    // create an image collection
    using (Vintasoft.Imaging.ImageCollection images =
        new Vintasoft.Imaging.ImageCollection())
    {
        // add images from file to the image collection
        images.Add(filename);

        System.Console.WriteLine("Create Tesseract OCR engine...");
        // create the Tesseract OCR engine
        using (Vintasoft.Imaging.Ocr.Tesseract.TesseractOcr tesseractOcr =
            new Vintasoft.Imaging.Ocr.Tesseract.TesseractOcr())
        {
            System.Console.WriteLine("Initialize OCR engine...");
            // init the Tesseract OCR engine for recognition of English characters
            tesseractOcr.Init(new Vintasoft.Imaging.Ocr.OcrEngineSettings(Vintasoft.Imaging.Ocr.OcrLanguage.English));

            // for each image in image collection
            foreach (Vintasoft.Imaging.VintasoftImage image in images)
            {
                System.Console.WriteLine("Recognize the image...");

                // set image for Tesseract OCR engine
                tesseractOcr.SetImage(image);

                // analyze page layout and get result as OCR page
                Vintasoft.Imaging.Ocr.Results.OcrPage ocrPage = tesseractOcr.AnalyzeLayout();

                // clear image in Tesseract OCR engine
                tesseractOcr.ClearImage();

                // calculate count of regions, paragraphs, lines, words, symbols

                int regionCount = ocrPage.Regions.Count;
                int paragraphCount = 0;
                int lineCount = 0;
                int wordCount = 0;
                int symbolCount = 0;

                foreach (Vintasoft.Imaging.Ocr.Results.OcrRegion region in ocrPage.Regions)
                {
                    Vintasoft.Imaging.Ocr.Results.OcrTextRegion textRegion =
                        region as Vintasoft.Imaging.Ocr.Results.OcrTextRegion;
                    paragraphCount += textRegion.Paragraphs.Count;
                    foreach (Vintasoft.Imaging.Ocr.Results.OcrParagraph paragraph in textRegion.Paragraphs)
                    {
                        lineCount += paragraph.TextLines.Count;
                        foreach (Vintasoft.Imaging.Ocr.Results.OcrTextLine line in paragraph.TextLines)
                        {
                            wordCount += line.Words.Count;
                            foreach (Vintasoft.Imaging.Ocr.Results.OcrWord word in line.Words)
                            {
                                symbolCount += word.Symbols.Count;
                            }
                        }
                    }
                }

                // output information about count of regions, paragraphs, lines, words, symbols

                System.Console.WriteLine("Layout result:");
                System.Console.WriteLine(string.Format("- Region count: {0}", regionCount));
                System.Console.WriteLine(string.Format("- Paragraph count: {0}", paragraphCount));
                System.Console.WriteLine(string.Format("- Line count: {0}", lineCount));
                System.Console.WriteLine(string.Format("- Word count: {0}", wordCount));
                System.Console.WriteLine(string.Format("- Symbol count: {0}", symbolCount));
                System.Console.WriteLine();
                System.Console.ReadKey();
            }

            // shutdown the Tesseract OCR engine
            tesseractOcr.Shutdown();
        }

        // free images
        images.ClearAndDisposeItems();
    }
}

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