title: Reconstruction of Banknote Fragments Based on Keypoint Matching Method.
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.
authors.affiliation: Department of Information Management, Chien Hsin University of Science and Technology, 229 Chien-Hsin Road, Taoyuan, 320, Taiwan.
authors.forename: Chih-Ying
authors.initials: CY
authors.lastname: Gwo
authors.affiliation: Department of Information Management, Chien Hsin University of Science and Technology, 229 Chien-Hsin Road, Taoyuan, 320, Taiwan.|Graduate Institute of Biomedical Informatics, Taipei Medical University, 250 Wuxing Street, Taipei City, 110, Taiwan.
authors.forename: Chia-Hung
authors.initials: CH
authors.lastname: Wei
authors.affiliation: College of Software, Nankai University, 94 Weijin Road, Nankai District, 300071, China.
authors.forename: Yue
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Information Management, Chien Hsin University of Science and Technology, 229 Chien-Hsin Road, Taoyuan, 320, Taiwan.
authors.forename: Nan-Hsing
authors.initials: NH
authors.lastname: Chiu
keywords: banknote fragments; forensic science; image matching; image reconstruction; image registration; keypoint detection