Tibetan character recognition is a significant module of Chinese multi language information processing system, however hardly any research work has been undertaken yet.
藏文字符识别系统是中文多文种信息处理系统的重要组成部分，但至今国内外的研究基本处于空白。
This paper presented a new multi-template character recognition method based on principal component analysis(PCA).
本文提出了一种基于主元分析法（PCA）的多模板字符识别算法。
While displaying a rich ethnical and regional character, the ethnic finery is also the symbol of cultural recognition in a country with multi-ethnic groups.
民族服饰在彰显浓郁的民族和地域特色的同时，还是多民族国家文化认同的外在符号。
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