Document Type
Article
Publication Date
10-11-2018
Publication Title
Journal of Physics: Conference Series
First page number:
1
Last page number:
5
Abstract
A summary of existing work on the use of machine learning and deep learning methods in biometrics is presented here. Biometrics traits covered include physiological (image, voice) as well as behavioral (gait, signature) features. This study shows that machine learning has a high potential to improve the performance of biometrics systems due to ML's ability to mine, search and analyze big sets of data, performing matching tasks more quickly and reliably than the conventional methods. At the end some key challenges in use of adopting ML in biometrics systems are pointed out.
Disciplines
Electrical and Computer Engineering
File Format
File Size
914 Kb
Language
English
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Repository Citation
Chate, L.,
Latifi, S.
(2018).
Application of Machine Learning to Biometric Systems- A Survey.
Journal of Physics: Conference Series
1-5.
http://dx.doi.org/10.1088/1742-6596/1098/1/012017