title: Highly inconsistent OCR result for tesseract
body: <p><a href="https://i.stack.imgur.com/1D4bB.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/1D4bB.jpg" alt="enter image description here"></a></p>
  
  <p>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.</p>
  
  <p><a href="https://i.stack.imgur.com/DvQV7.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/DvQV7.jpg" alt="enter image description here"></a></p>
  
  <p>The output from the tesseract is shown as it is there are blank spaces which I  remove while processing result</p>
  
  <pre><code>  Femme—Fatale.
  
  
  
    DaRkLoRdEIa
    aChineseN1gg4
  
    Noob_Diablo_
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/lYU1K.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/lYU1K.jpg" alt="enter image description here"></a></p>
  
  <p>The output from the tesseract is shown as it is there are blank spaces which I  remove while processing result</p>
  
  <pre><code>Kicked.
  
  NosNoel
  ChikiZD
  Death_Eag|e_42
  
  Chai—.
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/Etp3u.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/Etp3u.jpg" alt="enter image description here"></a></p>
  
  <pre><code>3579 10 1 7 148
  
  2962 3 O 7 101
  
  2214 2 2 7 99
  
  2205 1 3 6 78
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/tytSQ.jpg" rel="noreferrer"><img src="https://i.stack.imgur.com/tytSQ.jpg" alt="enter image description here"></a></p>
  
  <pre><code>8212
  
  7198
  
  6307
  
  5640
  
  4884
  
  15
  
  40
  
  40
  
  6O
  
  80
  
  80
  </code></pre>
  
  <p>Am just dumping the output of </p>
  
  <pre><code>result = `pytesseract.image_to_string(Image.open("D:/newapproach/B&amp;W"+str(i)+".jpg"),lang="New_Language")`
  </code></pre>
  
  <p>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</p>
  
  <h2><a href="http://pythonfiddle.com/ocr-with-python-and-tesseract" rel="noreferrer">Code</a></h2>