• DocumentCode
    705712
  • Title

    A Hybrid Feature Based Mobile Forensics System

  • Author

    Zhihua Wei ; Rui Zhao

  • Author_Institution
    Key Lab. of Embedded Syst. & Service Comput., Tongji Univ., Shanghai, China
  • fYear
    2015
  • fDate
    25-27 March 2015
  • Firstpage
    151
  • Lastpage
    155
  • Abstract
    Due to the limited computing ability of current mobile computing platform, many intelligent applications are hard to be implemented, such as some complex pattern recognition algorithms. This paper proposes a kind of fast hybrid feature based progressive person recognition algorithm for forensics application which form the candidate set according to the biometric feature first and then conduct face recognition algorithm in the candidate set. A bionic pattern recognition based face recognition algorithm is also proposed. Experimental results show that the proposed algorithm has a satisfied recognition precision and low time complexity which could be conducted on mobile forensics devices with high efficiency.
  • Keywords
    face recognition; image forensics; mobile computing; bionic pattern recognition; face recognition algorithm; hybrid feature based mobile forensics system; mobile forensics devices; progressive person recognition algorithm; Algorithm design and analysis; Face; Face recognition; Forensics; Image color analysis; Prediction algorithms; Face recognition; Mobile forensics; Person recognition; biometric feature; bionic pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomous Decentralized Systems (ISADS), 2015 IEEE Twelfth International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4799-8260-8
  • Type

    conf

  • DOI
    10.1109/ISADS.2015.32
  • Filename
    7098251