On-Line Handwritten Character Recognition with 3D Accelerometer
We present a pen-style hardware and analysis software for the recognition of handwritten characters. The hardware has a 3-dimensional acceleration sensor, an amplifier, a microcontroller with AD converter and communication port, and does not need any touching screen. The algorithm software includes signal preprocessing, feature extraction, and classifier. Both Hidden Markov Model (HMM) and Dynamic Time Warping (DTW) algorithms are implemented. For the experiments with 10 Arabic numerals the hardware and software system shows very high recognition rates, i.e., 100％ and 90.8％ for the writer-dependent and writer-independent cases, respectively. Although the database is quite small, it clearly demonstrates the usefulness of the acceleration-based handwritten character recognition system without touching screen or pad.
Sung-Do Choi Alexander S.Lee Soo-Young Lee
Korea Advanced Institute of Science and Technology 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, The University of Texas at Austin 1 University Station, Austin, Texas 78712, USA
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
845-850
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）