9789999326469 - Image Processing: Multimodal Biometric Authentication Using Deep Learning Techniques de S., Hemamalini; Sharma, Om Prakash (11 resultados)

Paperback. Condición: Brand New. 71 pages. 6.00x0.16x9.00 inches. In Stock.

Paperback. Condición: new. Paperback. This project presents a robust multimodal biometric authentication system that integrates facial recognition, voice verification, and fingerprint identification using deep learning techniques. By leveraging convolutional neural networks (CNNs) and advanced fusion strategies, the system enhances security, accuracy, and resilience against spoofing attacks compared to traditional unimodal approaches. Designed for high performance and adaptability, the solution demonstrates the potential of deep learning to revolutionize biometric authentication in real-world applications ranging from secure access control to financial services. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Paperback. Condición: new. Paperback. This project presents a robust multimodal biometric authentication system that integrates facial recognition, voice verification, and fingerprint identification using deep learning techniques. By leveraging convolutional neural networks (CNNs) and advanced fusion strategies, the system enhances security, accuracy, and resilience against spoofing attacks compared to traditional unimodal approaches. Designed for high performance and adaptability, the solution demonstrates the potential of deep learning to revolutionize biometric authentication in real-world applications ranging from secure access control to financial services. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. This project presents a robust multimodal biometric authentication system that integrates facial recognition, voice verification, and fingerprint identification using deep learning techniques. By leveraging convolutional neural networks (CNNs) and advanced fusion strategies, the system enhances security, accuracy, and resilience against spoofing attacks compared to traditional unimodal approaches. Designed for high performance and adaptability, the solution demonstrates the potential of deep learning to revolutionize biometric authentication in real-world applications ranging from secure access control to financial services. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This project presents a robust multimodal biometric authentication system that integrates facial recognition, voice verification, and fingerprint identification using deep learning techniques. By leveraging convolutional neural networks (CNNs) and advanced fusion strategies, the system enhances security, accuracy, and resilience against spoofing attacks compared to traditional unimodal approaches. Designed for high performance and adaptability, the solution demonstrates the potential of deep learning to revolutionize biometric authentication in real-world applications ranging from secure access control to financial services.

Taschenbuch. Condición: Neu. Image Processing | Multimodal Biometric Authentication Using Deep Learning Techniques | Hemamalini S. | Taschenbuch | Englisch | 2025 | Eliva Press | EAN 9789999326469 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.