pith:7HJGEKUN
Page image classification for content-specific data processing
An image classification system sorts historical document pages by content to enable tailored processing pipelines.
arxiv:2507.21114 v4 · 2025-07-11 · cs.IR · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HJGEKUN5L4SVGJUUI74COYCVI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
This project addresses this need by developing and evaluating an image classification system specifically designed for historical document pages, leveraging advancements in artificial intelligence and machine learning. The set of categories was chosen to facilitate content-specific processing workflows, separating pages requiring different analysis techniques (e.g., OCR for text, image analysis for graphics).
That a standard image classifier trained on historical page images can reliably separate the described content types at a level useful for downstream specialized pipelines, without the abstract providing any accuracy figures, dataset details, or error analysis to support this.
Develops an image classification system for historical document pages to support content-specific analysis pipelines.
Receipt and verification
| First computed | 2026-05-26T02:03:52.870609Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9d2622a8deaf92a9934a23fc13b02aa2ccdcdced06174d96cf047e217435614
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HJGEKUN5L4SVGJUUI74COYCVI \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f9d2622a8deaf92a9934a23fc13b02aa2ccdcdced06174d96cf047e217435614
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1c67bd51d0f628ea92e7c0ba125c0d3839add78e68764b90da52cadb11d1a909",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2025-07-11T08:30:12Z",
"title_canon_sha256": "f7d0ae89a2060c216ae51b95c64644526b10a408c1f1a6d0fc178654e8b9e6fc"
},
"schema_version": "1.0",
"source": {
"id": "2507.21114",
"kind": "arxiv",
"version": 4
}
}