%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