Dataset

CHoiCe: A Complex Handwritten Character dataset

Also known as: CHoiCe Dataset: A Complex Handwritten Character dataset
The Australian National University
Dr. Sabrina Caldwell (Associated with) Jo Plested (Associated with) Mr. Hongming Zhang (Associated with) Prof. Tom Gedeon (Associated with)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25911/602355a95f787&rft.title=CHoiCe: A Complex Handwritten Character dataset&rft.identifier=10.25911/602355a95f787&rft.publisher=The Australian National University&rft.description=The data of the dataset is collected from Professor Tom Gedeon and the complete handwriting paper of the CEDAR handwriting dataset. A CHoiCE Dataset with 62 classes cursive handwriting letters, 0-9, a-z, A-Z, each class in both the original data and the binary data at least have 40 pictures. The data format is a 28x28 .png format picture. The data set has a total of 62 categories of 0-9, a-z and A-Z, corresponding to the files 0 to 61 in the order of label.txt. The data set is divided into two parts, the unprocessed original data image is stored in the 0 to 61 in the V0.3/data folder, and the binarized data image Stored in 0 to 61 in the V0.3/data-bin folder.&rft.creator=Anonymous&rft.date=2021&rft_rights= http://legaloffice.weblogs.anu.edu.au/content/copyright/&rft_rights= http://creativecommons.org/licenses/by/3.0/au/deed.en&rft_subject=Computer Vision&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING&rft_subject=Image Processing&rft.type=dataset&rft.language=English Access the data

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Embargoes until publication of the research

Open Access allowed

Contact Information

Postal Address:
Research School of Computer Science ANU College of Engineering & Computer Science 108 North Road, Computer Science & Information Technology Building The Australian National University ACT 2600 Australia

Street Address:
Ph: 02 6125 8192

hongming.zhang@anu.edu.au
jo.plested@anu.edu.au
sabrina.caldwell@anu.edu.au
tom@cs.anu.edu.au

Full description

The data of the dataset is collected from Professor Tom Gedeon and the complete handwriting paper of the CEDAR handwriting dataset. A CHoiCE Dataset with 62 classes cursive handwriting letters, "0-9, a-z, A-Z",
each class in both the original data and the binary data at least have 40 pictures. The data format is a 28x28 ".png" format picture. The data set has a total of 62 categories of 0-9, a-z and A-Z, corresponding to the files "0" to "61" in the order of "label.txt". The data set is divided into two parts, the unprocessed original data image is stored in the "0" to "61" in the "V0.3/data" folder, and the binarized data image Stored in "0" to "61" in the "V0.3/data-bin" folder.

Notes

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