Palmprint verification using complex wavelet transform

Lei Zhang, Zhenhua Guo, Zhou Wang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

35 Citations (Scopus)


Palmprint is a unique and reliable biometric characteristic with high usability. With the increasing demand of automatic palmprint authentication systems, the development of accurate and robust palmprint verification algorithms has been attracting a lot of interests. The relative translation, rotation and distortion between two palmprint images will introduce much error in palmprint matching. However, an accurate registration of palmprint images is too time-consuming. In this paper, we propose a modified complex wavelet structural similarity index (CW-SSIM) to compute the matching score and hence identify the input palmprint. Since CW-SSIM is robust to translation, small rotation and distortion, a fast rough alignment of palmprint images is sufficient. CW-SSIM is also insensitive to luminance and contrast changes. Our experimental results show that the proposed scheme outperfonns the state-of-the-art methods by achieving a higher genuine acceptance rate and a lower false acceptance rate simultaneously.
Original languageEnglish
Title of host publication2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
Publication statusPublished - 1 Dec 2007
Event14th IEEE International Conference on Image Processing, ICIP 2007 - San Antonio, TX, United States
Duration: 16 Sep 200719 Sep 2007


Conference14th IEEE International Conference on Image Processing, ICIP 2007
Country/TerritoryUnited States
CitySan Antonio, TX


  • Biometrics
  • Complex wavelet
  • Palmprint
  • Similarity measurement
  • Transform

ASJC Scopus subject areas

  • Engineering(all)

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