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Springer Cross Disciplinary Biometric Systems - Springer Reference Library

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Description

This comprehensive book explores current advances in biometric systems including face recognition, fingerprint recognition, iris recognition and image search technologies. It bridges multiple disciplines by connecting biometric innovations to developments in colour and pattern analysis, mathematics and computer science. Cross disciplinary approaches significantly improve recognition accuracy and enhance system robustness in challenging environments such as varying illumination conditions. The book demonstrates how integrating insights from diverse fields strengthens conventional biometric systems and addresses real-world performance challenges. Ideal for researchers, engineers and students interested in advanced biometric technologies and their interdisciplinary foundations.

Key Features

Cross disciplinary biometric systems boost conventional system performance by integrating face recognition, fingerprint recognition and iris recognition technologies.

Covers colour and pattern analysis, mathematics and computer science connections to enhance biometric system design and implementation.

Addresses robustness improvements for challenging environments including varying illumination conditions and adverse recognition scenarios.

Part of the Springer Intelligent Systems Reference Library series, volume 37, providing authoritative research-based content.

Explores image search systems and their integration with modern biometric recognition methods for comprehensive solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
09 May 2014
Listed Since
08 May 2014

Barcode

No barcode data available

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