@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}, }