Online Handwritten character recognition by MRF for Lao characters

摘要

This paper describes on-line recognition of handwritten Lao characters which include consonants, vowels and tone marks, 52 characters in total by adopting Markov random field (MRF). It extracts feature points along the pen-tip trace from pen-down to pen-up, and then sets each feature point from an input pattern as a site and each state from a character class as a label. It recognizes an input pattern by using a linear-chain MRF model to assign labels to the sites of the input pattern. It employs the coordinates of feature points as unary features and the transitions of the coordinates between the neighboring feature points as binary features. An evaluation on the Lao character pattern database demonstrates the robustness of our proposed method.