An Open Source Testing Tool for Evaluating Handwriting Input Methods
May 30, 2015 Β· Declared Dead Β· π IEEE International Conference on Document Analysis and Recognition
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Authors
Liquan Qiu, Lianwen Jin, Ruifen Dai, Yuxiang Zhang, Lei Li
arXiv ID
1506.00176
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CV
Citations
2
Venue
IEEE International Conference on Document Analysis and Recognition
Last Checked
4 months ago
Abstract
This paper presents an open source tool for testing the recognition accuracy of Chinese handwriting input methods. The tool consists of two modules, namely the PC and Android mobile client. The PC client reads handwritten samples in the computer, and transfers them individually to the Android client in accordance with the socket communication protocol. After the Android client receives the data, it simulates the handwriting on screen of client device, and triggers the corresponding handwriting recognition method. The recognition accuracy is recorded by the Android client. We present the design principles and describe the implementation of the test platform. We construct several test datasets for evaluating different handwriting recognition systems, and conduct an objective and comprehensive test using six Chinese handwriting input methods with five datasets. The test results for the recognition accuracy are then compared and analyzed.
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