DocumentCode :
711857
Title :
Matching of Feature Points for Moneynote Fragment Assembly
Author :
Chih-Ying Gwo ; Chia-Hung Wei ; An-Wen Deng
Author_Institution :
Dept. of Inf. Manage., Chien Hsin Univ. of Sci. & Technol., Taoyuan, Taiwan
fYear :
2015
fDate :
24-26 April 2015
Firstpage :
293
Lastpage :
296
Abstract :
Banknotes, known as a bill, paper money, or simply a note, may be shredded by a scrap machine, ripped up by hand, or damaged in accidents. To assemble broken money note pieces is one of the time-consuming tasks encountered by forensic institutes. This paper proposes an effective scheme to match feature points and rotate the orientation of each fragment for banknote assembly. The experimental results show that the proposed scheme achieves the least errors in the estimated rotation angle.
Keywords :
assembling; feature extraction; image forensics; image matching; banknote assembly; broken moneynote piece assembly; feature point matching; forensic institutes; moneynote fragment assembly; paper money; rotation angle estimation; scrap machine; Assembly; Computational modeling; Feature extraction; Forensics; Mathematical model; Pattern matching; Reliability; feature extraction; image assembly; key point detection; similarity matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Control Engineering (ICISCE), 2015 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-6849-0
Type :
conf
DOI :
10.1109/ICISCE.2015.72
Filename :
7120612
Link To Document :
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