@article{(Open Science Index):https://publications.waset.org/pdf/10027,
	  title     = {Javanese Character Recognition Using Hidden Markov Model},
	  author    = {Anastasia Rita Widiarti and  Phalita Nari Wastu},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {9},
	  year      = {2009},
	  pages     = {2201 - 2204},
	  ee        = {https://publications.waset.org/pdf/10027},
	  url   	= {https://publications.waset.org/vol/33},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 33, 2009},
	}