| Paper: | MP-P5.11 |
| Session: | Biometrics III: Fingerprints, Iris, Palmprints |
| Time: | Monday, September 17, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
PALMPRINT VERIFICATION USING COMPLEX WAVELET TRANSFORM |
| Authors: |
Lei Zhang; The Hong Kong Polytechnic University | | |
| | Zhenhua Guo; The Hong Kong Polytechnic University | | |
| | Zhou Wang; University of Texas at Arlington | | |
| | David Zhang; The Hong Kong Polytechnic University | | |
| Abstract: |
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-the-art methods by achieving a higher genuine acceptance rate and a lower false acceptance rate simultaneously. |
