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portada Fake Logo Detection Using CNN Models
Type
Physical Book
Publisher
Author
Language
English
Pages
72
Format
Paperback
ISBN13
9786630469592

Fake Logo Detection Using CNN Models

Allamraju, K Viswanath;;;Venkata Kamesh, Vinjamuri;G, Prasanna Kumar (Author) · LAP Lambert Academic Publishing · Paperback

Fake Logo Detection Using CNN Models - Allamraju, K Viswanath;;;Venkata Kamesh, Vinjamuri;G, Prasanna Kumar

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Synopsis "Fake Logo Detection Using CNN Models"

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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