• Chinese Journal of Lasers
  • Vol. 39, Issue s2, 209004 (2012)
Guo Suoli1、*, Cheng Panpan1, Liu Yanfei1, and Jia Hui2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/cjl201239.s209004 Cite this Article Set citation alerts
    Guo Suoli, Cheng Panpan, Liu Yanfei, Jia Hui. Large-Scale Face Recognition Using Optic-Electronic Hybrid Joint Transform Correlator[J]. Chinese Journal of Lasers, 2012, 39(s2): 209004 Copy Citation Text show less

    Abstract

    A new method for large-scale face recognition is proposed. In order to realize 1N identification, optical joint transform correlator is used to complete related calculation which consuming the largest time in image recognition, and electrical method is used to subtract power spectrum. By combining the computer pattern′s high accuracy with the optical pattern′s high speed, the recognition′s speed and accuracy are improved. An evaluation criteria is also established to evaluate the recognition performance of this method. The computer simulation results show that the method can eliminate the central zero-order diffraction and sharp auto-correlation peak. When the recognition threshold value is in [0.61,0.62], both false match rate and false non-match rate are 0.
    Guo Suoli, Cheng Panpan, Liu Yanfei, Jia Hui. Large-Scale Face Recognition Using Optic-Electronic Hybrid Joint Transform Correlator[J]. Chinese Journal of Lasers, 2012, 39(s2): 209004
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