Identification method for on-line handwritten Tibetan characters based on components

Abstract

The invention belongs to the field of minority language information processing, and in particular relates to an identification method for on-line handwritten Tibetan characters based on components. According to the invention, a traditional identification method based on statistics is broken through and components are used as basic identification objects; the identification method comprises the steps of: firstly, performing component division on an input character to obtain sub-structure sequences arranged in a rule; and then, obtaining a correct identification result of component string breakpoints and the component strings from the sub-structure sequences via an integrated identification method based on condition random field; and finally determining the category of the character based on the identification result. The invention is applied in the handwritten identification input of mobile equipment based on pen-type interaction, and the invention has the advantages of small storage quantity of identification method, high identification precision and high demand satisfaction of pen-type mobile equipment.

Description

technical field [0001] The invention belongs to the field of on-line handwritten character recognition for ethnic minority language and text information processing, and relates to a recognition method for Tibetan characters, in particular to a component-based on-line handwritten Tibetan character recognition method. Background technique [0002] Pen-based online handwritten character recognition technology is an easy-to-use and effective real-time tool, which has been widely used in computers and handheld mobile devices (such as mobile phones, PDAs, etc.). The popularity of pen input devices and the expansion of applications have brought new opportunities to the application of handwritten character recognition technology, and at the same time put forward higher requirements for recognition performance. Further improving the recognition accuracy, reducing the amount of calculation and storage space is the next research goal. Tibetan character recognition technology is an imp...

AI Technical Summary

Problems solved by technology

The advantage of this method is that the model complexity of structural primitives is low, while the disadvantage is that the extraction of substructures is difficult and the accuracy is low

At present, the research on online handwritten Tibetan character recognition is based on statistical methods. The large number of categories of Tibetan characters leads to a large storage capacity of classifier parameters; on the other hand, the large number of similar character categories affects the performance of the classifier. Recognition accuracy; these two main reasons lead to the fact that the recognition performance of Tibetan characters has not yet reached the high demand of handwriting recognition technology for pen-type mobile devices

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