| Title | Fingerprint indexing based on singular point correlation |
| Authors | Liu, Tong Zhu, Guocai Zhang, Chao Hao, Pengwei |
| Affiliation | National Laboratory on Machine Perception, Peking University, Beijing, 100871, China School of Mathematical Sciences, Peking University, Beijing, 100871, China Deptartment of Computer Science, Queen Mary, University of London, E1 4NS, United Kingdom |
| Issue Date | 2005 |
| Citation | IEEE International Conference on Image Processing 2005, ICIP 2005.Genova, Italy,3(293-296). |
| Abstract | Fingerprint indexing is an efficient technique that greatly improves the performance of Automated Fingerprint Identification Systems. We propose a continuous fingerprint indexing method based on location, direction estimation and correlation of fingerprint singular points. Location and direction estimation are achieved simultaneously by applying a T-shape model to directional field of fingerprint images. The T-shape model analyzes homocentric sectors around the candidate singular points to find lateral-axes and further main-axes. Then a distortion-tolerant filter of Minimum Average Correlation Energy is utilized to obtain a correlation-based similarity measure which gives the evidence of searching priority. The experiment is performed by 400-fingerprint retrieval from 10,000 templates and the mean search space is only 3.46% of the whole dataset. ? 2005 IEEE. |
| URI | http://hdl.handle.net/20.500.11897/315555 |
| ISSN | 9780780391345 |
| DOI | 10.1109/ICIP.2005.1530386 |
| Indexed | EI |
| Appears in Collections: | 机器感知与智能教育部重点实验室 数学科学学院 |
