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        EEPW首頁 > 工控自動化 > 設(shè)計(jì)應(yīng)用 > 基于多特征SVMs分類器的手語識別*

        基于多特征SVMs分類器的手語識別*

        ——
        作者:楊全 西安文理學(xué)院 計(jì)算機(jī)科學(xué)系 彭進(jìn)業(yè) 西北大學(xué) 信息科學(xué)與技術(shù)學(xué)院 時(shí)間:2009-04-14 來源:電子產(chǎn)品世界 收藏

          結(jié)語

        本文引用地址:http://www.antipu.com.cn/article/93422.htm

          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識別方法。實(shí)驗(yàn)表明,在識別中,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,為識別方法的早日推廣應(yīng)用提供了理論依據(jù)。

          參考文獻(xiàn):

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          [6] 吳銳航, 李紹滋, 鄒豐美. 基于特征的圖像檢索[J].計(jì)算機(jī)應(yīng)用研究, 第25卷第2期, 2008

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          [8] ZHANG SHU-YA, ZHAO YI-MING, LI JUN-LI. Algorithm and Implementation of Image Classification based on SVM[J]. Computer Engineering and Applicationgs, 2007

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