English

An Open Source Testing Tool for Evaluating Handwriting Input Methods

Human-Computer Interaction 2015-06-02 v1 Computer Vision and Pattern Recognition

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.

Keywords

Cite

@article{arxiv.1506.00176,
  title  = {An Open Source Testing Tool for Evaluating Handwriting Input Methods},
  author = {Liquan Qiu and Lianwen Jin and Ruifen Dai and Yuxiang Zhang and Lei Li},
  journal= {arXiv preprint arXiv:1506.00176},
  year   = {2015}
}

Comments

5 pages, 3 figures, 11 tables. Accepted to appear at ICDAR 2015

R2 v1 2026-06-22T09:44:26.707Z