Name: Computer Aided Face Liveness Detection (en Inglés)
Price: 121.43 PEN
Availability: InStock
Author: Singh, Manminder
ISBN: 9787271485828

portada Computer Aided Face Liveness Detection (en Inglés)

Formato

Libro Físico

Autor

Manminder Singh

Editorial

Meem Publishers

Idioma

Inglés

N° páginas

150

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.8 cm

Peso

0.21 kg.

ISBN13

9787271485828

Categorías

Machine learning: aprendizaje automático
Reconocimiento de formas
Visión por ordenador

Computer Aided Face Liveness Detection (en Inglés)

Manminder Singh (Autor) · Meem Publishers · Tapa Blanda

Libro Físico

S/ 121,43

S/ 242,86

Ahorras: S/ 121,43

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 08 de Julio y el Lunes 22 de Julio.

Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.

Reseña del libro "Computer Aided Face Liveness Detection (en Inglés)"

Computer-Aided; Face Liveness Detection; Security; Facial Spoofing; Presentation Attacks; Machine Learning; Computer Vision; Authentication; Identity Theft; User Experience; Artificial Intelligence; Real-time Detection; Fraudulent Attempts; Sensitive Applications; Advanced Algorithms; Biometrics; User Verification; Trustworthy Interactions; Digital Security; Robust ShieldIn today's technologically advanced world, the need for robust security measures has become more crucial than ever. One of the significant challenges faced by various industries, including finance, healthcare, and authentication systems, is the threat of facial spoofing or presentation attacks. These attacks involve using images or videos of a genuine user's face to deceive facial recognition systems.To address this growing concern, "Computer-Aided Face Liveness Detection" offers a cutting-edge solution that leverages advanced algorithms and artificial intelligence. The primary objective of this technology is to distinguish between real, live faces and manipulated or counterfeit representations.By integrating powerful machine learning techniques and sophisticated computer vision algorithms, this system can accurately assess facial features' dynamics and behavior in real-time. It enables a reliable and swift determination of the authenticity of a face, thwarting fraudulent attempts and ensuring heightened security for sensitive applications.This innovative approach to face liveness detection is not only vital for safeguarding against identity theft and unauthorized access but also plays a crucial role in improving user experience. As this technology continues to evolve, it has the potential to transform the landscape of security measures, making it more resilient and effective against ever-evolving threats."Computer-Aided Face Liveness Detection" represents a pivotal step forward in the realm of security technologies, providing a robust shield against facial spoofing and reinforcing trust in digital interactions.