Volume 30 Issue 10
Aug.  2021
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WANG Yu, MU Zhichun, XU Zhengguang, LUO Jiajia. Multimodal recognition of posed ear and face based on kernel canonical[J]. Chinese Journal of Engineering, 2008, 30(10): 1200-1204. DOI: 10.13374/j.issn1001-053x.2008.10.021
Citation: WANG Yu, MU Zhichun, XU Zhengguang, LUO Jiajia. Multimodal recognition of posed ear and face based on kernel canonical[J]. Chinese Journal of Engineering, 2008, 30(10): 1200-1204. DOI: 10.13374/j.issn1001-053x.2008.10.021

Multimodal recognition of posed ear and face based on kernel canonical

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  • Received Date: September 01, 2007
  • Revised Date: November 25, 2007
  • Available Online: August 05, 2021
  • Using the ear and face possessing of special physiological correlation under the same pose condition as the research object, a muhimodal recognition method based on kernel canonical correlation analysis (KCCA) was proposed to solve the problem of information loss resulted from sharp pose change. In the method, the normalization and centering methods were used to preproeess ear and face datasets and the nearest neighbor method was used to classify. Experimental results show that KCCA can availably overcome the effect of sharp pose change. Compared with the single biometric, the recognition rate improves remarkably.

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