Palmprint Verification using Complex Wavelet Transform

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 outperforms the state-of-theart methods by achieving a higher genuine acceptance rate and a lower false acceptance rat...

• Type: Conference
• Year: 2007
• Where: ICIP
• Authors: Lei Zhang, Zhenhua Guo, Zhou Wang, David Zhang
• Keywords: Automatic Palmprint Authentication, ICIP 2007, Image Processing, Palmprint Images, Robust Palmprint Verification