Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays

Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays

Convolutional neural networks (CNNs) are increasingly recognized as an important and potent artificial intelligence approach, widely employed in many computer vision applications, such as facial recognition. Their importance resides in their capacity to acquire hierarchical features, which is essent...

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Bibliographic Details
Main Authors: Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:AI
Subjects:
morphological biometrics
face recognition
CNN
deep learning
FPGA machine learning
Online Access:https://www.mdpi.com/2673-2688/6/1/8
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