16. A method implemented at least in part by a processing unit, the method comprising: receiving time sequential, ink data for a handwritten East Asian character; producing online ink data to be conditioned that includes a writing sequence of the handwritten East Asian character; extracting features from the conditioned online ink data, the features comprising at least one of a tangent feature, a curvature feature, a local length feature, a connection point feature, or an imaginary stroke feature; and recognizing the handwritten East Asian character that corresponds to the features being extracted based on a Hidden Markov Model.
16. A method implemented at least in part by a processing unit, the method comprising: receiving time sequential, ink data for a handwritten East Asian character; producing online ink data to be conditioned that includes a writing sequence of the handwritten East Asian character; extracting features from the conditioned online ink data, the features comprising at least one of a tangent feature, a curvature feature, a local length feature, a connection point feature, or an imaginary stroke feature; and recognizing the handwritten East Asian character that corresponds to the features being extracted based on a Hidden Markov Model. 19. The method of claim 16 , further comprising determining the local length feature for a neighborhood based on calculating a number of frames multiplied by a frame length.