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

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

Softcover

ISBN 10: 6630469593 ISBN 13: 9786630469592

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Dr. K. Viswanath Allamraju, presently working at MVSR Engineering College, Nadergul, Hyderabad, India, in the Dept of CSE (ALLIED).Dr. Venkata Kamesh Vinjamuri, presently working at Aditya University, Surampalem, Kakinada District, A.P in the Dept of CSE.Dr. G. Prasanna Kumar, presently working at MallaReddy University, Hyderabad in ECE department.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 6630469593
• ISBN 13: 9786630469592
• Einband: Taschenbuch
• Anzahl der Seiten: 72
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar