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Data · dataset · 2025

irregular handwritten Chinese character dataset,IHCCD

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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.

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Topics

Inferred from text
Image 75% · Optical character recognition 65% · Text 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00240.0002112 d agoJSON v1
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