Mean Hand
Mean Hand is a typeface created from a large collection of handwritten characters gathered by the U.S. government in the 1990s. This typeface is based on samples from Census Bureau employees and students, which were used to develop the EMNIST dataset for handwriting recognition. The design of Mean Hand highlights the balance between legibility and variation in handwriting, with its characteristics influenced by the thresholds set during its creation.
- ▪Mean Hand was developed from 814,255 handwritten characters collected for automating Census form processing.
- ▪The typeface is based on samples from Census Bureau employees and high school students in Bethesda, Maryland.
- ▪Mean Hand illustrates how legibility in handwriting is determined by specific thresholds in sample agreement.
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Story provenance
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Record
| Original publisher | Anna-zhang |
| Canonical URL | https://portfolio.anna-zhang.com/projects/mean-hand |
| Publication time | Sat, 30 May 2026 05:02:05 +0000 |
| Retrieval time | 2026-05-30T05:12:05.787Z |
| Last seen | 2026-05-30T05:12:05.787Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Mean Hand is a typeface built from 814,255 handwritten characters collected by the U.S. government in the early 1990s to automate Census form processing. The samples came from Census Bureau employees and high school students in Bethesda, Maryland. This data became NIST Special Database 19, later adapted into the EMNIST dataset: a benchmark used to train and evaluate handwriting recognition systems, shaping what counts as legible.Each letter is constructed by stacking thousands of samples and applying a threshold: a mark appears only if that proportion of samples placed ink there. This threshold determines the weight.At Black, 1 in 20 samples is sufficient; letters accumulate nearly every variation, becoming dense and difficult to read.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Anna-zhang.
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