Data · dataset · 2025
irregular handwritten Chinese character dataset,IHCCD
Listed in ScienceDB
This article collects the first set of irregular handwritten Chinese character dataset (IHCCD), which includes 3755 categories and 30 samples for each category.
Description
IHCCD is handwritten by different non-standard handwriting artists on A4 printing paper, and uses a scanner as the input device to convert handwritten character samples into digital image samples. In the process of collecting the dataset, these non-standard handwriting practitioners do not need to write completely in the order of standard Chinese character strokes.
They can freely adjust the thickness, length, and position of strokes, enlarge or shrink radicals arbitrarily, change the degree of inclination of Chinese characters, distort character shapes, and disrupt spatial structures, thus achieving the goal of avoiding current text recognition engines. The experiment shows that this dataset has laid the foundation for promoting the development of non-standard handwritten Chinese character recognition, and has facilitated further research and development in this field.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00240.00021 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 75% · Optical character recognition 65% · Text 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00240.00021 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:ocr | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |