Reconstruction of Banknote Fragments Based on Keypoint Matching Method |
| |
| Authors: | Chih‐Ying Gwo PhD Chia‐Hung Wei PhD Yue Li PhD Nan‐Hsing Chiu PhD |
| |
| Affiliation: | 1. Department of Information Management, Chien Hsin University of Science and Technology, Taoyuan, Taiwan;2. Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan;3. College of Software, Nankai University, Nankai District, China |
| |
| Abstract: | Banknotes may be shredded by a scrap machine, ripped up by hand, or damaged in accidents. This study proposes an image registration method for reconstruction of multiple sheets of banknotes. The proposed method first constructs different scale spaces to identify keypoints in the underlying banknote fragments. Next, the features of those keypoints are extracted to represent their local patterns around keypoints. Then, similarity is computed to find the keypoint pairs between the fragment and the reference banknote. The banknote fragments can determine the coordinate and amend the orientation. Finally, an assembly strategy is proposed to piece multiple sheets of banknote fragments together. Experimental results show that the proposed method causes, on average, a deviation of 0.12457 ± 0.12810° for each fragment while the SIFT method deviates 1.16893 ± 2.35254° on average. The proposed method not only reconstructs the banknotes but also decreases the computing cost. Furthermore, the proposed method can estimate relatively precisely the orientation of the banknote fragments to assemble. |
| |
| Keywords: | forensic science image reconstruction image registration banknote fragments keypoint detection image matching |
|
|
