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Author:

Liu, Danghui (Liu, Danghui.) | Shen, Lansun (Shen, Lansun.) | Yin, Yunxia (Yin, Yunxia.) | Li, Xiaohua (Li, Xiaohua.)

Indexed by:

CPCI-S

Abstract:

Two facial images captured from the same person, one with spectacles and another without spectacles, have obviously different appearances. The strong reflection light on spectacles surfaces usually also forms one or several facula regions on facial images. Our proposed method can reconstruct a face image without spectacles frame and facula regions. The spectacles frame and facula regions in a facial image can be achieved by means of some simple image processing methods. And Principal Component Analysis (PCA) is then used to obtain a partial reconstruction image while the spectacles frame and facula regions in the facial image are not used. Gabor feature of partially reconstructed image without spectacles frame and facula regions is used for face recognition by means of PCA. Experimental results demonstrate that our method can achieve a higher recognition rate based on the FERET face database.

Keyword:

gabor feature spectacles reflection face recognition image processing principal component analysis

Author Community:

  • [ 1 ] [Liu, Danghui]Inst Equipment Command & Technol, Beijing 101416, Huairou Dist, Peoples R China
  • [ 2 ] [Yin, Yunxia]Inst Equipment Command & Technol, Beijing 101416, Huairou Dist, Peoples R China
  • [ 3 ] [Liu, Danghui]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing 100022, Peoples R China
  • [ 4 ] [Shen, Lansun]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing 100022, Peoples R China
  • [ 5 ] [Li, Xiaohua]Beijing Univ Technol, Signal & Informat Proc Lab, Beijing 100022, Peoples R China

Reprint Author's Address:

  • [Liu, Danghui]Inst Equipment Command & Technol, Beijing 101416, Huairou Dist, Peoples R China

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Source :

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS

Year: 2006

Page: 667-667

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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