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A Review on OCR Post Processing Error Correction Algorithm

Author

Listed:
  • Mayur Burhan
  • Mimoh Samarth
  • unal Talokar
  • Nikhil Gaikwad

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.'

Suggested Citation

  • Mayur Burhan & Mimoh Samarth & unal Talokar & Nikhil Gaikwad, 2018. "A Review on OCR Post Processing Error Correction Algorithm," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 258-262, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit183380
    Note: Article URL: https://ijsrcseit.com/CSEIT183380
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