Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings

Research Article

Deep Learning Based Person Identification Using Facial Images

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  • @INPROCEEDINGS{10.1007/978-3-319-76213-5_17,
        author={Hamidur Rahman and Mobyen Ahmed and Shahina Begum},
        title={Deep Learning Based Person Identification Using Facial Images},
        proceedings={Internet of Things (IoT) Technologies for HealthCare. 4th International Conference, HealthyIoT 2017, Angers, France, October 24-25, 2017, Proceedings},
        proceedings_a={HEALTHYIOT},
        year={2018},
        month={2},
        keywords={Face recognition Person identification Deep learning},
        doi={10.1007/978-3-319-76213-5_17}
    }
    
  • Hamidur Rahman
    Mobyen Ahmed
    Shahina Begum
    Year: 2018
    Deep Learning Based Person Identification Using Facial Images
    HEALTHYIOT
    Springer
    DOI: 10.1007/978-3-319-76213-5_17
Hamidur Rahman1,*, Mobyen Ahmed1,*, Shahina Begum1,*
  • 1: Mälardalen University
*Contact email: hamidur.rahman@mdh.se, mobyenUddin.ahmed@mdh.se, shahina.begum@mdh.se

Abstract

Person identification is an important task for many applications for example in security. A person can be identified using finger print, vocal sound, facial image or even by DNA test. However, Person identification using facial images is one of the most popular technique which is non-contact and easy to implement and a research hotspot in the field of pattern recognition and machine vision. In this paper, a deep learning based Person identification system is proposed using facial images which shows higher accuracy than another traditional machine learning, i.e. Support Vector Machine.