title: how to improve accuracy/prediction for EasyOCR?
body: <p>I am trying to get characters from vehicle number plate.
  But getting few wrong predictions like</p>
  <p><a href="https://i.stack.imgur.com/J8uyr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/J8uyr.png" alt="enter image description here" /></a></p>
  <p>I am getting output as <code>UP74 BD 3465</code>, which is wrong . There are many examples where <code>B</code> is predicted as <code>8</code> and many more.</p>
  <ul>
  <li><strong>How to improve it's accuracy?</strong>.</li>
  <li><strong>How to preprocess the image to get right prediction or any other approach?</strong></li>
  </ul>
  <pre class="lang-py prettyprint-override"><code>import matplotlib.pyplot as plt
  import easyocr
  from pylab import rcParams
  from IPython.display import Image
  
  rcParams['figure.figsize'] = 8, 16
  reader = easyocr.Reader(['en'])
  
  output = reader.readtext(path)
  for i in range(len(output)):
      print(output[i][-2])
  </code></pre>