OCR and Human Reading Acuity Correlation Across Fonts

A 5.5 KB Excel dataset examines the correlation between Optical Character Recognition and human reading acuities. It was authored by Gordon E. Legge and focuses on five mainstream fonts and a newly designed font. The dataset includes metrics like maximum reading speed and critical print size.

Use Cases

• Analyze the correlation between OCR and human reading acuity scores across five mainstream fonts and a newly designed font.
• Compare maximum reading speed and critical print size metrics between different font types.
• Investigate the relationship between print sizes and reading acuity measurements from human participants.

Strengths

• Focuses on a specific comparison between OCR and human reading acuities.
• Includes data on five mainstream fonts and a newly designed font.
• Released under a permissive CC BY 4.0 license.

Limitations

• Very small dataset at only 5.5 KB, indicating limited scope and few data points.
• No column names or sample data are available to assess structure and variables.
• The description is minimal, lacking details on sample size, methodology, or participant demographics.

Provenance

Source

Gordon E. Legge via figshare

Collection Method

Data likely derived from experiments comparing OCR performance with human reading tests across fonts.

Freshness

Last updated on 2026-03-24.