After analyzing all kinds of methods on on-line handwritten recognition (statistical recognition method, structure recognition method, structure and statistical recognition method) and Tibetan features, the authors got methods on on-line recognition of handwritten Tibetan characters.

Application of on-line signature and information hiding technology of e-government;

In order to solve the problem of automatic segmentation of handwritten Chinese text,a dynamic programming-based online handwritten Chinese character segmentation method is proposed.

An algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for OLCCR(on-line handwritten Chinese character recognition).

MCLRNN model for online handwritten Tibetan character recognition based on stroke characteristics;