The document discusses methods to improve OCR (Optical Character Recognition) accuracy, emphasizing the importance of high accuracy levels for efficient business processes. It outlines common challenges and preprocessing techniques, such as image quality checking and noise removal, as well as the significance of image acquisition standards. Additionally, it provides metrics for evaluating OCR accuracy, categorizing it into good, average, and poor performance levels.

1. HOW TO
IMPROVE
THE OCR
ACCURACY

2. OCR technology has become
widely popular today. Existing
workflows and business
processes have improved a lot
after companies started
adopting it
Introduction

3. OCR Accuracy is the process
of comparing the output of
OCR with the original
version of the same (ground
truth) text.
What is OCR Accuracy?

4. Increasing the OCR accuracy
isn’t something which can
be done overnight but one
can definitely try to do so
in due course of time.
Importance of
High OCR
Accuracy

5. Infrrd OCR has different
accuracy levels for the
different kinds of
documents scanned, but we
make it a point to achieve
at least a minimum of 70%
accuracy.
Common Challenges
in OCR Accuracy

6. Preprocessing techniques is
that to make sure some steps
are taken to increase the
existing accuracy of our OCR
engine by following the below
steps:
Preprocessing
Techniques
• Checking the Source Image
Quality
• Removing Noise from the
Images
• Choosing the Best OCR
Engine
• Using Filters, Databases,
and Thesaurus

7. OCR should be able to recognize
high contrasts, character
borders, pixel noise, and
aligned characters.
Training the OCR
Model

8. Quality image Acquisition is
all about scaling an image to a
standard size which is around
300 dpi. Any image which is
lower than this size will give
an unclear result, while images
above 600 dpi will make the
output file bigger without much
quality
Quality Image
Acquisition

9. Post processing techniques
main criteria is to take a
thorough understanding of the
preprocessing steps to gain
momentum
Post-Processing
Techniques

10. Increasing the OCR accuracy
isn’t something which can be
done overnight but one can
definitely try to do so in due
course of time. A detailed
description of how accuracy of
OCR is calculated is given
below
OCR Accuracy
Metrics
• Good OCR accuracy: CER 1-2% (i.e.
98-99% accurate)
• Average OCR accuracy: CER 2-10%
• Poor OCR accuracy: CER > 10% (i.e.
below 90% accurate)

11. THANK YOU
To know more, visit:
https://www.infrrd.ai/blog/how-to-improve-the-ocr-accuracy