Data Capture - ICR - PowerPoint PPT Presentation

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Data Capture - ICR

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Data Capture - ICR Typical Workflow Image Movement /Data Extraction Processing Centre/s Data Capture - ICR Typical Workflow Image Interpretation Automated Process ... – PowerPoint PPT presentation

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Title: Data Capture - ICR


1
Data Capture - ICR
  • Typical Workflow
  • Image Movement /Data Extraction Processing
    Centre/s

2
Data Capture - ICR
  • Typical Workflow
  • Image Interpretation
  • Automated Process
  • Background Task
  • Page Identification
  • De-skew
  • Image Cleanup
  • Predefined Areas

3
Data Capture - ICR
  • Typical Workflow
  • Character Inspection
  • Tiling
  • High Confidence
  • Operator decision
  • Field Context
  • Tall to short

4
Data Capture - ICR
  • Typical Workflow
  • Key Correction
  • Low Confidence
  • Operator decision
  • Form Context
  • External Verification

5
Data Capture - ICR
  • Typical Workflow
  • Data Export
  • ASCII File
  • CSV Format
  • 1 line/form
  • CSPro Import

6
Data Capture - ICR
  • Typical Workflow
  • ICR

7
Data Capture - ICR
  • Accuracy
  • This is always the first Question.
  • Handprint
  • Numeric only in isolated fields 98
  • Numeric only in semi constrained fields 95-96
  • Alpha upper case only 90
  • Alpha lowercase only 85-87
  • Alpha mixed case 75-80
  • Alpha/Numeric mixed case 50 or less
  • reduce by 5 if there are special characters not
    a-z and 0-9
  • The accuracy level post data correction (e.g. the
    final output accuracy) should be 100 (subject to
    good operators)

8
Data Capture - ICR
  • Accuracy Continued
  • The accuracy of all modern ICR engines are pretty
    much comparable
  • The major differences with suppliers solutions
    are the methods and workflow utilised with each
    offering
  • False positive detection takes 10 times longer
    than entry of characters recognized with low
    confidence false positives (substitutions) are
    the most expensive errors

9
Data Capture - ICR
  • Accuracy Continued
  • Accuracy can be improved by
  • Restricting the responses to any given question
    thus using external verification
  • Using multiple ICR engines to vote which is
    expensive
  • Training your ICR engines on local hand writing
    styles (If possible)

10
Data Capture - ICR
  • Advantages
  • No Specialist hardware required
  • An Image archive is automatically produced of
    every form
  • Very high speed scanning can be achieved
  • Both OMR and ICR can be interpreted using ICR
    software
  • Forms designed for ICR relatively easy to fill
    in. Locally printed forms can be used.
  • Allows capturing much more complex data than with
    OMR alone

11
Data Capture - ICR
  • Disadvantages
  • Significant Hardware/software and trained IT
    staff will be required
  • Accuracy dependant on manual intervention
  • High calibre IT staff are required to support the
    ICR system
  • More complex cost/benefit analysis than with OMR
    alone.

12
Data Capture - ICR
  • Indicative Costs Labour
  • For 65 Million Population Census (20M Single
    Sided A4 household form)
  • Processing period of 12 Weeks (8 hours/day 5
    days/week)
  • Hardware 800k-1M in total
  • Software 700k-1.3M in total
  • Total Indicative Costs are 1.5M to 2.3M
  • No. of Staff 100-190 in total
  • 6-10 Managers
  • 94-180 PC Operators

13
Data Capture - ICR
  • Summary
  • The single most important factor for timely and
    accurate data capture is to make sure
  • the forms are filled in correctly and are
    returned in good condition
  • ICR offers considerable flexibility at the cost
    of higher skilled IT personnel

14
Worldwide specialists in data capture from paper
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