Preprint
Enriching Historical Records: An OCR and AI-Driven Approach for Database Integration
Zahra Abedi, arXiv, 2025
Read the originalRead on October 17, 2026
- What it is
- A preprint that runs optical character recognition on typewritten historical records and reports both the character error rate and the word error rate of the OCR output against a labelled sample.
- How much weight it carries
- Single preprint, not peer-reviewed, on one collection of typewritten documents. It shows how the two measures differ on that OCR output, not what OCR error rates are in general.
Facts taken from this source
- On typewritten historical records, the OCR output had a character error rate of 1.08 percent against a labelled sample.
“OCR achieved a Character Error Rate (CER) of 1.08% and a Word Error Rate (WER) of 5.06%” (Abstract)
- On the same typewritten historical records, the OCR output had a word error rate of 5.06 percent.
“OCR achieved a Character Error Rate (CER) of 1.08% and a Word Error Rate (WER) of 5.06%” (Abstract)