Contents

• Contents
• List of Tables
• List of Figures
• Introduction
  • Optical Character Recognition
  • Needs for Estimating Page Quality
  • Difficulty in Predicting OCR Accuracy
  • Problem Description
    • Assumptions
  • Description of the Work
• Related Work
  • OCR Difficulty Evaluation
  • Other Approaches
• Classifier Design
  • Justification for Using Simple Features
  • Feature Selection Process
    • Concept Exploration Dataset
      • Concept Exploration Observations
      • Connected Components
    • Feature Metrics Design
      • White Speckle
      • Broken-Chars Zone
      • Size Information
    • Preliminary Set of Rules
  • Determining Threshold Values
    • Training Dataset
    • Conclusions from Training Test
      • White Speckle
      • Reference Point
      • Broken Chars Zone
      • Size Information
  • Final Set of Rules
  • Summary
• Results and Analysis
  • Classifier Testing Architecture
    • Basic Processing Model
  • Test Data Set
  • Unfiltered Results
  • Error Analysis
  • Higher Good Thresholds
    • Good Threshold = 95%Results
    • Good Threshold = 98%Results
  • Magazine Data
  • Summary
• Future Work
  • Statistical Pattern Recognition
  • Features Observed but not Used
  • New Datasets
• Concluding Remarks
• Classifier Results for Test Dataset
• Classifier Results for Magazine Dataset
• References
• About this document ...