• DocumentCode
    3116145
  • Title

    Mobile phone security using automatic lip reading

  • Author

    Lesani, Fatemeh Sadat ; Ghazvini, Faranak Fotouhi ; Dianat, Rouhollah

  • Author_Institution
    Dept. of Inf. Technol. & Comput. Eng., Univ. of Qom, Qom, Iran
  • fYear
    2015
  • fDate
    16-16 April 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    During the recent years mobile phones´ usage and their application in the everyday life has increased dramatically. Therefore the modern methods of security in mobile phone applications are highly regarded especially in mobile banking applications. In this paper, a novel security method is introduced in which a password is received using visual information processing from the user´s lips. Phone Camera can provide the ability to track user´s lip motion using lip reading algorithms to recognize the security words like passwords. Mobility in mobile phones has led to a change in ambient light. In this research, a method has been proposed to solve light change challenges in mobile phones. Finally an m-commerce android application is designed and implemented using this technique. The application recognizes passwords using automatic lip reading and checks whether the password is correct or not. If password is correct, the user can open his/her bank application. The reliability of this method is evaluated comparing with the traditional method of password protection in mobile phones.
  • Keywords
    bank data processing; mobile commerce; security of data; smart phones; automatic lip reading; m-commerce Android application; mobile banking application; mobile phone security; phone camera; visual information processing; Authentication; Feature extraction; Mobile communication; Prototypes; Smart phones; Automatic Lip Reading; Lip Tracking; Mobile Commerce; Mobile Security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Commerce in Developing Countries: With focus on e-Business (ECDC), 2015 9th International Conference on
  • Conference_Location
    Isfahan
  • Print_ISBN
    978-1-4799-8653-8
  • Type

    conf

  • DOI
    10.1109/ECDC.2015.7156322
  • Filename
    7156322