• 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