Biometric Recognition Using Deep Learning: A Survey

by   Shervin Minaee, et al.

Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks in the last few years. These models seem a natural fit for handling the ever-increasing scale of biometric recognition problems, from cellphone authentication to airport security systems. Deep learning-based models have increasingly been leveraged to improve the accuracy of different biometric recognition systems in recent years. In this work, we provide a comprehensive survey of more than 120 promising works on biometric recognition (including face, fingerprint, iris, palmprint, ear, voice, signature, and gait recognition), which deploy deep learning models, and show their strengths and potentials in different applications. For each biometric, we first introduce the available datasets that are widely used in the literature and their characteristics. We will then talk about several promising deep learning works developed for that biometric, and show their performance on popular public benchmarks. We will also discuss some of the main challenges while using these models for biometric recognition, and possible future directions to which research in this area is headed.


page 2

page 4

page 7

page 10

page 13

page 14


Deep Learning for Iris Recognition: A Review

Iris recognition is a secure biometric technology known for its stabilit...

Human Gait Recognition using Deep Learning: A Comprehensive Review

Gait recognition (GR) is a growing biometric modality used for person id...

Survey on Deep Learning-based Kuzushiji Recognition

Owing to the overwhelming accuracy of the deep learning method demonstra...

Responsible Facial Recognition and Beyond

Facial recognition is changing the way we live in and interact with our ...

Finger Texture Biometric Characteristic: a Survey

In recent years, the Finger Texture (FT) has attracted considerable a...

Voice Morphing: Two Identities in One Voice

In a biometric system, each biometric sample or template is typically as...

Human Identity Verification based on Heart Sounds: Recent Advances and Future Directions

Identity verification is an increasingly important process in our daily ...

Please sign up or login with your details

Forgot password? Click here to reset