DocumentCode
3248651
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
fYear
2012
fDate
23-27 July 2012
Firstpage
204
Lastpage
207
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CSQRWC.2012.6294993
Filename
6294993
Link To Document