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ASIA Offline Handwriting Databases Application Form for Academic Research NPR, Institute of Automation of Chinese Academy of Sciences (ASIA) 95 Zhongguancun East Road, Beijing 100190, P.R. China Contact:
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CASIA Offline Handwriting Databases is a collection of offline handwritten character databases created by the Chinese Academy of Sciences.
CASIA Offline Handwriting Databases are primarily used by researchers and developers in the field of handwriting recognition.
CASIA Offline Handwriting Databases are filled out by collecting and digitizing handwritten characters using specialized devices or software.
The purpose of CASIA Offline Handwriting Databases is to provide a standardized dataset for training and evaluating handwriting recognition algorithms.
CASIA Offline Handwriting Databases typically contain information about handwritten characters, such as their stroke order, size, and position.
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