%0 Journal Article
	%A Anastasia Rita Widiarti and  Phalita Nari Wastu
	%D 2009
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 33, 2009
	%T Javanese Character Recognition Using Hidden Markov Model
	%U https://publications.waset.org/pdf/10027
	%V 33
	%X Hidden Markov Model (HMM) is a stochastic method
which has been used in various signal processing and character
recognition. This study proposes to use HMM to recognize Javanese
characters from a number of different handwritings, whereby HMM
is used to optimize the number of state and feature extraction. An
85.7 % accuracy is obtained as the best result in 16-stated vertical
model using pure HMM. This initial result is satisfactory for
prompting further research.
	%P 2201 - 2204