Face recognition using gender information

  • Authors:
  • Wonjun Hwang;Haibing Ren;Hyunwoo Kim;Seok-Cheol Kee;Junmo Kim

  • Affiliations:
  • Samsung Electronics, Korea;Samsung Electronics, Korea;KGIT, Korea;Robotever Inc., Korea;KAIST, Korea

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

In this paper, we propose a novel method using gender information for achieving better performances of face recognition systems. Gender is one of the important factors for recognizing appearance of human faces and there are many studies on gender classifications such as [1]. However, the gender information is not actively applied in visionbased face recognition tasks, because we cannot find out human identity using only gender information. Therefore, we design the face recognition system based on the gender-based facial features with global facial features, and moreover, gender-based score normalization method for verification task. For fair evaluations, we use FRGC database known as a large size face image database.