Highly inconsistent OCR result for tesseract

Question

This is the original screenshot and I cropped the image into 4 parts and cleared the background of the image to the extent that I can possibly do but tesseract only detects the last column here and ignores the rest.

The output from the tesseract is shown as it is there are blank spaces which I remove while processing result

  Femme—Fatale.



  DaRkLoRdEIa
  aChineseN1gg4

  Noob_Diablo_

The output from the tesseract is shown as it is there are blank spaces which I remove while processing result

Kicked.

NosNoel
ChikiZD
Death_Eag|e_42

Chai—.

3579 10 1 7 148

2962 3 O 7 101

2214 2 2 7 99

2205 1 3 6 78

8212

7198

6307

5640

4884

15

40

40

6O

80

80

Am just dumping the output of

result = `pytesseract.image_to_string(Image.open("D:/newapproach/B&W"+str(i)+".jpg"),lang="New_Language")`

But I do not know how to proceed from here to get a consistent result.Is there anyway so that I can force the tesseract to recognize the text area and make it scan that.Because in trainer (SunnyPage), tesseract on default recognition scan it fails to recognize some areas but once I select the manually everything is detected and translated to text correctly

Code

Answer 1

Tried with the command line which gives us option to decide which psm value to be used.

Can you try with this:

pytesseract.image_to_string(image, config='--psm 6')

Tried with the image provided by you and below is the result:

Extracted Text Out of Image

The only problem I am facing is that my tesseract dictionary is interpreting "1" provided in your image to ""I" .

Below is the list of psm options available:

pagesegmode values are: 0 = Orientation and script detection (OSD) only.

1 = Automatic page segmentation with OSD.

2 = Automatic page segmentation, but no OSD, or OCR

3 = Fully automatic page segmentation, but no OSD. (Default)

4 = Assume a single column of text of variable sizes.

5 = Assume a single uniform block of vertically aligned text.

6 = Assume a single uniform block of text.

7 = Treat the image as a single text line.

8 = Treat the image as a single word.

9 = Treat the image as a single word in a circle.

10 = Treat the image as a single character.

Answer 2

I used this link

https://www.howtoforge.com/tutorial/tesseract-ocr-installation-and-usage-on-ubuntu-16-04/

Just use below commands that may increase accuracy upto 50%`

sudo apt update

sudo apt install tesseract-ocr

sudo apt-get install tesseract-ocr-eng

sudo apt-get install tesseract-ocr-all

sudo apt install imagemagick

convert -h

tesseract [image_path] [file_name]

convert -resize 150% [input_file_path] [output_file_path]

convert [input_file_path] -type Grayscale [output_file_path]

tesseract [image_path] [file_name]

It will only show bold letters

Thanks