基于多特征SVMs分類器的手語識別*

　　結(jié)語

　　本文提出了一種采用7Hu不變矩特征量等多種圖像特征相融合的SVMs手語識別方法。實(shí)驗(yàn)表明，在手語識別中，采用圖像全局和局部特征相結(jié)合的方法，可獲得較高的識別率，為手語識別方法的早日推廣應(yīng)用提供了理論依據(jù)。

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