IIAE CONFERENCE SYSTEM, The 2nd International Conference on Industrial Application Engineering 2014 (ICIAE2014)

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The Middle of the Sample Based on Color Face Identification Feature Extraction and Automatic Identification
Ouyang Ying, Yongjun Liu

Last modified: 2014-03-25


Currently face recognition has made some success, algorithms are constantly being improved, this paper puts forward the sample was based on the middle sample what will consider existing deviation from the samples and it will affect samples, the average face recognition rate dropped to sample, therefore consider removing part of samples of the sample among affect outcomes. Combined with colored face feature identified and automatic identification, the improved algorithm will be applied to color facial identification. Finally, extensive experiments performed on the international and universal AR standard color face database verify the effectiveness of the proposed method.

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