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Fake Logo Detection Using CNN Models: A Deep Learning Approach to Brand Authentication - Tapa blanda

Allamraju, K Viswanath; Venkata Kamesh, Vinjamuri; G, Prasanna Kumar

 
9786630469592: Fake Logo Detection Using CNN Models: A Deep Learning Approach to Brand Authentication

Sinopsis

In the digital era, logos play a crucial role in establishing brand identity, consumer trust, and product authenticity. However, the increasing availability of sophisticated image-editing tools has made it easier to create and distribute counterfeit or manipulated logos. Detecting fake logos accurately and efficiently has therefore become an important application of Artificial Intelligence, Computer Vision, and Deep Learning. Fake Logo Detection Using CNN Models: A Deep Learning Approach to Brand Authentication presents a practical and research-oriented approach to identifying genuine and counterfeit logos using Convolutional Neural Network (CNN) models. The book introduces the fundamentals of image processing, computer vision, deep learning, and CNN architectures before progressing toward the design and implementation of an automated logo authentication system.

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