Title :
Online Handwriting Mongolia words recognition based on HMM classifier
Author :
Wei, Wu ; Guanglai, Gao
Author_Institution :
Coll. of Comput. Sci., Inner Mongolia Univ., Hohhot, China
Abstract :
In this paper, we give a recognition method for online handwriting Mongolia words which being often used among the Mongolia people in the North China. We introduced the HMM technique for handwriting recognition. We make use of local dynamic information for feature selection, and k-means clustering algorithm base on HMM. Experimental results show that writer-dependent words achieve recognition rates above 90%. The system runs well and is good stability. Recognition rate achieves just to the level of utility.
Keywords :
feature extraction; handwriting recognition; hidden Markov models; natural language processing; pattern classification; pattern clustering; HMM classifier; feature selection; k-means clustering; online handwriting Mongolia words recognition; writer-dependent words; Character recognition; Clustering algorithms; Computer science; Data preprocessing; Educational institutions; Handwriting recognition; Hidden Markov models; Lattices; Stability; Writing; HMM; Handwriting Recognition; Mongolia Words;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191525
