Title :
A HMM- based approach for online Uyghur word handwriting recognition
Author :
Zhao, Hui ; Ge, Wenping
Author_Institution :
Coll. of Inf. Sci. & Eng., Xinjiang Univ., Urumqi, China
Abstract :
Online handwriting recognition is a very important part in the field of pattern recognition. Up to now there are few reports about the online Uyghur word handwriting recognition. This paper proposes an effective method based on HMM to recognize handwritten Uyghur word. This method introduces a feature extraction approach and presents a language model, resulting in a higher accuracy.
Keywords :
feature extraction; handwriting recognition; hidden Markov models; HMM-based approach; feature extraction approach; language model; online Uyghur word handwriting recognition; pattern recognition; Character recognition; Feature extraction; Handwriting recognition; Hidden Markov models; Shape; Vectors; HMM; feature extraction; online Uyghur word handwriting recognition; word network;
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2012
Conference_Location :
New Taipei City
Print_ISBN :
978-1-4673-1867-9
DOI :
10.1109/CSQRWC.2012.6294993
