A Review on OCR Post Processing Error Correction Algorithm

Authors

  • Mayur Burhan  Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Mimoh Samarth  Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Mrunal Talokar  Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Nikhil Gaikwad  Department of Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India

Keywords:

Optical Character recognition, Post processing, Text mining, Error Correction

Abstract

Building an effective method to detect characters from images with less error rate is the great task. Our aim is to give such an algorithm that will be generated error-free recognition of text from the given image. For this purpose, OCR was developed to translate scanned text into editable computer text. Unfortunately, OCR is still imperfect as it falsely identifies scanned text leading to misspellings and errors in the OCR output. Hence a post-processing technique used for detecting and correcting OCR non-word and real-word errors. The aim of our project is to develop an 'Android app for translating text into a known language which is named as TransLocator.'

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mayur Burhan, Mimoh Samarth, Mrunal Talokar, Nikhil Gaikwad, " A Review on OCR Post Processing Error Correction Algorithm, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.258-262, March-April-2018.