Finding line bounding boxes

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Aspose.OCR for Java can automatically find the coordinates of image regions containing text lines. This can be useful for highlighting detected areas when previewing an image or extracting individual blocks of text.

To get bounding boxes of all lines in images, provided in OcrInput object, use DetectRectangles method. Specify AreasType.LINES as the areasType parameter of the method.

Line detection works differently depending on the isDetectAreas parameter of the method:

isDetectAreas Behavior
true The OCR engine tries to break the content into paragraphs and then extracts lines from the found paragraphs. Best suited for multi-column texts - adjacent lines in different columns will be treated as separate lines rather than a single line.
false The OCR engine ignores the columns and combines adjacent lines from different columns into a single line. This can be useful when concatenating text from table rows.

The method returns a list of RectangleOutput objects containing coordinates of each line in each image.

Property Type Description
Rectangles ArrayList<Rectangle> Coordinates of each line of an image (top-left corner, width and height), returned as a list of Rectangle objects.
ImageIndex int Sequence number of the image on the page. When working with single-page images, this value is always 0.
Page int Page number. When working with single-page images, this value is always 0.
Source String The full path or URL of the source file. If the file is provided as a BufferedImage object, an array of pixels, or a Base64 string, this value will be empty.

Example

The following code example shows how to detect lines in multiple images:

AsposeOcr api = new AsposeOcr();
// Add images to detection batch
OcrInput images = new OcrInput(InputType.SingleImage);
images.Add("source1.png");
images.Add("source2.jpg");
// Get line coordinates
ArrayList<RectangleOutput> areas = api.DetectRectangles(images, AreasType.LINES, true);
areas.forEach((area) -> {
	area.Rectangles.forEach((rectangle) -> {
		System.out.println("File: " + area.Source + " | " + rectangle.x + ", " + rectangle.y + ", " + rectangle.width + ", " + rectangle.height);
	});
});