Yılmaz Seçkin, Nabiyev Vasif V
Artvin Vocational School, Artvin Coruh University, 08000, Artvin, Turkey.
Department of Computer Engineering, Karadeniz Technical University, 61080, Trabzon, Turkey.
J Forensic Sci. 2019 Jul;64(4):1078-1091. doi: 10.1111/1556-4029.13993. Epub 2019 Jan 8.
Reconstruction of 2D object is a problem concerning many different fields such as forensics science, archiving, and banking. In the literature, it is considered as one-sided puzzle problem. But this study handles torn banknotes as a double-sided puzzle problem for the first time. In addition to that, a new dataset (ToB) is created for solving this problem. A selection approach based on the Borda count method is adopted in order to make the right decision as to which keypoint-based method is to be used in the proposed reconstruction system. The selection approach was determined the Accelerated-KAZE (AKAZE) as the most successful keypoint-based method. This study also proposes new measures determining the success ratio of the reconstructed banknotes and calculating their loss ratio. When the torn banknotes were reconstructed with the AKAZE-based reconstruction system, the average success rate was calculated as 95.55% by the proposed metric.
二维物体重建是一个涉及许多不同领域的问题，如法医学、档案管理和银行业。在文献中，它被视为单面拼图问题。但本研究首次将破损纸币作为双面拼图问题来处理。除此之外，还创建了一个新的数据集（ToB）来解决这个问题。为了在拟议的重建系统中做出使用哪种基于关键点的方法的正确决策，采用了基于博尔达计数法的选择方法。该选择方法确定加速-KAZE（AKAZE）为最成功的基于关键点的方法。本研究还提出了确定重建纸币成功率和计算其损失率的新措施。当使用基于AKAZE的重建系统重建破损纸币时，通过所提出的指标计算出平均成功率为95.55%。
