Error calculating angle in ImageDeskew about tess4j

[nguyenq]

While we're investigating this issue, can you try the Leptonica methods that determine the skew angles? If they yield more consistent and accurate results, you may want to go that route; however, the image format conversion, Java BufferedImage to Leptonica Pix and back, will incur some overheads. Please do some analysis, and submit a PR if needed. Thanks.

http://tess4j.sourceforge.net/docs/index.html

[nguyenq]

Could it be that the image has some invisible artifacts (lines) that skewed the results?

The existing Java native method has been in use ever since the library inception, and no one has complained about it.

[peterkronenberg]

I attached the file. No lines that I could see. Again, the document is not skewed at all. Not sure if anyone has ever tried it on an image like that. Do you see the same results?
I can try the Leptonica library. What exactly is that for?
I see the findSkew() method. I assume that pangle is the skew angle it finds. But what is pconf?

[nguyenq]

The lines may be invisible to human eyes.

Leptonica is the image processing library that Tesseract directly depends on. You will need to consult its documentation for usage.

https://tpgit.github.io/Leptonica/skew_8c.html

[peterkronenberg]

I don't think that's likely. Are you able to try it and determine if this is a bug? I thought this was a place I could get support

[nguyenq]

I tried your image in VietOCR gui. Deskewing the entire image did incorrectly skew it. If I split it in half top/bottom and trim empty spaces, it works correctly. The large empty space in between the header/footer seems to have thrown it off.

[peterkronenberg]

Yes, that is exactly my point. Is there anything I can do to improve this? I have several images like this (pages from a PDF file), that have an address at the top or a few other lines of text, with a lot of white space. But the lines of text are clearly horizontal

[nguyenq]

Try your question and images in SO. There are image processing experts that could help.

Or you may want to try to use Leptonica methods first; if need be, post on Leptonica site for help.

[nguyenq]

@peterkronenberg Any luck (better results) with Leptonica methods?

[peterkronenberg]

Sorry, haven't had an opportunity to try it yet.

[nguyenq]

Ran a test case for Lept4J:

   /**
     * Test of pixFindSkew method, of class Leptonica1.
     */
    @Test
    public void testPixFindSkew() {
        System.out.println("pixFindSkew");
        File input = new File("C:\\Temp\\samplerotatedimage-Redacted.tif");
        Pix pixs = Leptonica1.pixRead(input.getPath());
        Pix pix1pp = Leptonica1.pixConvertTo1(pixs, 128);
        FloatBuffer pangle = FloatBuffer.allocate(1);
        FloatBuffer pconf = FloatBuffer.allocate(1);
        int expResult = 0;
        int result = Leptonica1.pixFindSkew(pix1pp, pangle, pconf);
        float conf = pconf.get();
        float angle = pangle.get();
        System.out.println("Confidence: " + conf + " Angle: " + angle);
        assertEquals(expResult, result);
    }

Output:

Running net.sourceforge.lept4j.Leptonica1Test
pixFindSkew
Confidence: 2.8027375 Angle: 0.21875

Documentation: https://tpgit.github.io/Leptonica/skew_8c.html

[peterkronenberg]

Thanks for trying this out!