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
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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