A handwritten character recognition system based on acceleration

Author

Yuan, Chun ; Zhang, Shiqi ; Wang, Zhao

Author_Institution

Grad. Sch. at Shenzhen, Inf. Sci. & Technol. Div., Tsinghua Univ., Shenzhen, China

fYear

2011

fDate

16-18 Aug. 2011

Firstpage

192

Lastpage

198

Abstract

In this paper, an handwritten character recognition system based on acceleration is presented. The character recognition system using a 3-dimensional (3D) accelerometer, includes three procedures: original signal detection, signal processing (preprocessing and quantization) and recognition/classification. In quantization procedure, Trajectory Orientation (TO) and Curve Feature (CF) are adopted and compared. In recognition procedure, Fully-connected Hidden Markov Model (HMM) and Left-Right HMM are both implemented and compared. The system, in the recognition of 10 Arabic numerals, achieves the Correct Rate(CR) of 99.05% and the Total Correct Rate (TCR) of 94.76%.

Keywords

accelerometers; handwritten character recognition; hidden Markov models; natural language processing; quantisation (signal); signal detection; Arabic numeral; curve feature; handwritten character recognition system; hidden Markov model; left-right HMM; quantization; signal detection; signal processing; three-dimensional accelerometer; total correct rate; trajectory orientation; Acceleration; Accelerometers; Character recognition; Feature extraction; Hidden Markov models; Quantization; Trajectory; Accelerometer; Character Recognition; Curve Feature; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Content, Multimedia Technology and its Applications (IDCTA), 2011 7th International Conference on

Conference_Location

Busan

Print_ISBN

978-1-4577-0473-4

Electronic_ISBN

978-89-88678-47-3

Type

conf

Filename

6016660