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Springer Soft Computing for Recognition based on Biometrics - Book

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Description

This comprehensive Springer publication explores bio-inspired models and hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition in biometric applications. The book covers multiple intelligent computing paradigms including fuzzy logic, neural networks, and bio-inspired optimisation algorithms that combine to create powerful hybrid systems. Organised into five main parts, it presents a collection of papers focused on classification, biometric recognition, and related information processing topics. Ideal for researchers, academics, and professionals working in artificial intelligence, machine learning, and biometric security who seek to understand how soft computing approaches can be applied to real-world recognition problems and enhance system performance.

Key Features

Covers soft computing techniques including fuzzy logic, neural networks, and bio-inspired optimisation algorithms for pattern recognition applications.

Part of the Studies in Computational Intelligence series (volume 312), published by Springer for academic and professional audiences.

Focuses on biometric recognition systems and image analysis using hybrid intelligent system approaches.

Organised into five main sections exploring related topics in soft computing and recognition technologies.

Combines multiple computing paradigms to demonstrate how hybrid systems outperform single-method approaches in real-world biometric applications.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
07 November 2012
Listed Since
05 October 2012

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