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          EEPW首頁 > 工控自動化 > 設(shè)計應(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 計算機科學(xué)系 彭進業(yè) 西北大學(xué) 信息科學(xué)與技術(shù)學(xué)院 時間: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.ex-cimer.com/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。實驗表明,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:

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            [4] YANG QUAN and PENG JINYE. Application of Improved Sign Language Recognition and Synthesis Technology in IB[C]. 3rd IEEE Conference on Industrial Electronics and Applications, June 2008.

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

            [7] 中國聾人協(xié)會.中國手語[M]. 北京:北京華夏出版社, 1991

            [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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