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.
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Notes
- 1.
“AT&T Face Database: http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html.”
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Acknowledgement
The authors would like to acknowledge the Swedish Knowledge Foundation (KKS), Hök instrument AB, Volvo Car Corporation (VCC), The Swedish National Road and Transport Research Institute (VTI), Autoliv AB, Prevas AB Sweden, and all the test subjects for their support of the research projects in this area.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Rahman, H., Ahmed, M.U., Begum, S. (2018). Deep Learning Based Person Identification Using Facial Images. In: Ahmed, M., Begum, S., Fasquel, JB. (eds) Internet of Things (IoT) Technologies for HealthCare. HealthyIoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-76213-5_17
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DOI: https://doi.org/10.1007/978-3-319-76213-5_17
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