"Application of Machine Learning to Biometric Systems- A Survey" by Lina Chate and Shahram Latifi
 

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

PDF

File Size

914 Kb

Language

English

Creative Commons License

Creative Commons Attribution 3.0 License
This work is licensed under a Creative Commons Attribution 3.0 License.

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