Advancements and challenges: a comprehensive review of GAN-based models for the mitigation of small dataset and texture sticking issues in fake license plate recognition

Advancements and challenges: a comprehensive review of GAN-based models for the mitigation of small dataset and texture sticking issues in fake license plate recognition

This review paper critically examines the recent advancements in refining Generative Adversarial Networks (GANs) to address the challenges posed by small datasets and the persisting issue of texture sticking in the domain of fake license plate recognition. Recognizing the limitations posed by insuff...

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Bibliographic Details
Main Authors: Habeeb, Dhuha, Alhassani, A.H., Abdullah, Lili N., Der, Chen Soong, Alasadi, Loway Kauzm Qata
Format: Article
Language:English
Published: Dr D. Pylarinos 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114939/
http://psasir.upm.edu.my/id/eprint/114939/1/114939.pdf

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