Solving double-sided puzzles: Automated assembly of torn-up banknotes evidence
Yükleniyor...
Dosyalar
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wiley
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Forensic science, Double-sided puzzles, Assembly of fragments, Torn banknotes, Banknote recognition, Torn documents, Image matching, Borda count
Kaynak
Journal Of Forensic Sciences
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
64
Sayı
4
Künye
Yılmaz, S., & Nabiyev, V. V. (2019). Solving Double‐Sided Puzzles: Automated Assembly of Torn‐up Banknotes Evidence. Journal of forensic sciences, 64(4), 1078-1091, DOİ: 10.1111/1556-4029.13993
