Tibetan Recognition System Based on the Improved Extraction Algorithm of Complexity Index Feature

Abstract

Tibetan character recognition is a significant module of multi-language information processing system in China. Owing to the special structure of Tibetan characters, the recognition of traditional Tibetan characters encounters the problems of low recognition rates and poor recognition effects. Through an in-depth study on features of Tibetan characters, this paper compared and analyzed the character feature extraction algorithm are used widely, and on this basis, a Tibetan character recognition system based on BP neural network was designed. The results of the experiments indicate that the improved extraction algorithm of complexity index feature to deal with Tibetan characters has the higher recognition rate and recognition speed. Keywords-complexity index feature; feature extraction; Tibetan character recognition