Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III

Research Article

Face Recognition System in Cell Phones Based on Text Message Service

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  • @INPROCEEDINGS{10.1007/978-3-642-27317-9_14,
        author={Suman Deb and Sourav Biswas and Chinmoy Debnath and Suddhasatta Dhar and Priyanka Deb},
        title={Face Recognition System in Cell Phones Based on Text Message Service},
        proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III},
        proceedings_a={CCSIT PART  III},
        year={2012},
        month={11},
        keywords={SMS non-invasive principle component analysis eigen face},
        doi={10.1007/978-3-642-27317-9_14}
    }
    
  • Suman Deb
    Sourav Biswas
    Chinmoy Debnath
    Suddhasatta Dhar
    Priyanka Deb
    Year: 2012
    Face Recognition System in Cell Phones Based on Text Message Service
    CCSIT PART III
    Springer
    DOI: 10.1007/978-3-642-27317-9_14
Suman Deb1,*, Sourav Biswas1,*, Chinmoy Debnath1,*, Suddhasatta Dhar1,*, Priyanka Deb1,*
  • 1: National Institute of Technology
*Contact email: sumandebcs@gmail.com, souravbiswas.cs@gmail.com, chinmoy_cse@ymail.com, suddha14@gmail.com, priyanka_nita.cse07@ymail.com

Abstract

Face Recognition is a task human performs remarkably easily and successfully. This technology being easy to use, non-intrusive and simple to implement with less hardware requirements has a great advantage over other conventional biometrics. The goal of our work is to present face recognition with the help of sms/text messaging service on mobile platform to enlarge the scope of face recognition in the field of social security. This paper is aimed to help people recognizing any suspects or criminals as well as informing the concerned authorities with the help of sms. The use of mobile based platform gives the portability and versatility to this project. We plan to introduce the sms based face recognition technique which makes the work more scalable and also eliminates the use of GPRS or any other similar services, which is availed by less number of people compared to the total number of cell phone users.