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BL Demo Day - July2011 - (3) Image Enhancement for OCR

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IMPACT Centre of Competence
IMPACT Centre of Competence

Slides from Niall Anderson's 1st presentation on Image Enhancement and OCR at the British Library Demo-day on the 12th July 2011.

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Image Enhancement and OCR Niall Anderson, The British Library, 12 July 2010
What is Image Enhancement? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example of an enhanced image Warped Dewarped
Why Image Enhancement? ,[object Object],[object Object],[object Object]
OCR and Image Enhancement ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IMPACT Image Enhancement toolkit
Types of image enhancement in toolkit ,[object Object]
Types of image enhancement in toolkit ,[object Object]
Types of image enhancement in toolkit ,[object Object]
Types of Image Enhancement in toolkit ,[object Object]
Using the IMPACT Image Enhancement toolkit - 1 ,[object Object]
Using the IMPACT Image Enhancement toolkit - 2 ,[object Object]
Using the IMPACT Image Enhancement toolkit - 3 ,[object Object]
Using the IMPACT Image Enhancement toolkit - 4 ,[object Object]
Using the IMPACT Image Enhancement toolkit - 5 ,[object Object]
Using the IMPACT Image Enhancement toolkit - 6 ,[object Object]
Using the IMPACT Image Enhancement toolkit - 7 ,[object Object]
Indicative results – Border Removal 22383 images to test border removal BL: 7% BNE: 34% BNF: 34% BSB: 11% JSI: 6% NLB: 2% ONB: 6% Only images with borders 38718 images to test border removal BL: 9% BNE: 29% BNF: 32% BSB: 12% JSI: 11% NLB: 2% ONB: 5%
Indicative results – Page splitting 458 images from BNF to test page split 3009 images to test page split BL: 72% BSB: 10% JSI: 18%
Indicative results - Dewarping IMPACT Page Curl Correction v.4 87.78% (81.98% only coarse correction) BookRestorer 80.87%
Research and references ,[object Object],[object Object],[object Object]
[object Object]

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BL Demo Day - July2011 - (3) Image Enhancement for OCR

  • 1. Image Enhancement and OCR Niall Anderson, The British Library, 12 July 2010
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  • 3. Example of an enhanced image Warped Dewarped
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  • 18. Indicative results – Border Removal 22383 images to test border removal BL: 7% BNE: 34% BNF: 34% BSB: 11% JSI: 6% NLB: 2% ONB: 6% Only images with borders 38718 images to test border removal BL: 9% BNE: 29% BNF: 32% BSB: 12% JSI: 11% NLB: 2% ONB: 5%
  • 19. Indicative results – Page splitting 458 images from BNF to test page split 3009 images to test page split BL: 72% BSB: 10% JSI: 18%
  • 20. Indicative results - Dewarping IMPACT Page Curl Correction v.4 87.78% (81.98% only coarse correction) BookRestorer 80.87%
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Notas del editor

  1. While generally used in the pre-processing stage of OCR production, Image Enhancement techniques can, in theory, be used on any digital image, created for whatever purpose. Legacy images – not created with OCR in mind – can also benefit from this approach.
  2. Created by IMPACT partner agency NCSR “Demokritos” in Athens
  3. Done automatically based on projection profiles and zonal analysis. Can also be resized manually as in this example.
  4. Extension of process used in border removal. Can also be resized manually.
  5. If automated processing works, why manual intervention? Use in collection triage: finding the best parameters before submitting images to OCR.
  6. Items are selected and deselected by clicking on the icons. The workflow parts can also be swapped around for best results