A Wavelet-Based Image Preprocessing Method for Illumination Insensitive Face Recognition




Xiaochao Zhao;Yaping Lin;Bo Ou;Junfeng Yang

Key Words

face recognition ; illumination normalization ; discrete wavelet transform


Journal of Information Science and Engineering

Volume or Term/Year and Month of Publication

31卷5期(2015 / 09 / 01)

Page #

1711 - 1730

Content Language


English Abstract

In this paper, we propose a wavelet-based illumination normalization method for face recognition against different directions and strength of light. Here, by one-level discrete wavelet transform, a given face image is first decomposed into low frequency and high frequency components, respectively, and then the two components are processed separately through contrast enhancement to eliminate the effect of illumination variations and enhance the detailed edge information. Finally the normalized image is obtained through the inverse discrete wavelet transform. Experimental results on the Yale B, the extended Yale B and CMU PIE face databases show that the proposed method can effectively reduce the effect of illumination variations on face recognition.

Topic Category 基礎與應用科學 > 資訊科學
Times Cited
  1. 郭姿伶(2017)。基於預測誤差直方圖多層群組位移之高藏量 可逆式資訊隱藏之研究。中興大學資訊管理學系所學位論文。2017。1-40。