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Evolution of Deep Learning for Biometric Identification and Recognition

Evolution of Deep Learning for Biometric Identification and Recognition
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Author(s): S. Miruna Joe Amali (K.L.N. College of Engineering, India), Manjula Devi C. (Velammal College of Engineering and Technology, India)and Rajeswari G. (K.L.N. College of Engineering, India)
Copyright: 2023
Pages: 14
Source title: Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era
Source Author(s)/Editor(s): A. Srinivasan (SASTRA University (Deemed), India)
DOI: 10.4018/978-1-7998-8892-5.ch009

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Abstract

Biometrics is a method based on the recognition of the biological characteristics of an individual like fingerprint, vocal, and facial features. Biometric features hold a unique place when it comes to recognition, authentication, and security applications as they cannot be easily duplicated. Deep learning-based models have been very successful in achieving better efficiency in biometric recognition. They are more beneficial because deep learning-based models provide an end-to-end learning framework.

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