Soft Computing for Recognition Based on Biometrics

We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, includin...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Melin, Patricia (Επιμελητής έκδοσης), Kacprzyk, Janusz (Επιμελητής έκδοσης), Pedrycz, Witold (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Computational Intelligence, 312
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 05125nam a22005175i 4500
001 978-3-642-15111-8
003 DE-He213
005 20151204162655.0
007 cr nn 008mamaa
008 100929s2010 gw | s |||| 0|eng d
020 |a 9783642151118  |9 978-3-642-15111-8 
024 7 |a 10.1007/978-3-642-15111-8  |2 doi 
040 |d GrThAP 
050 4 |a TA174 
072 7 |a TBD  |2 bicssc 
072 7 |a TEC016020  |2 bisacsh 
072 7 |a TEC016000  |2 bisacsh 
082 0 4 |a 620.0042  |2 23 
245 1 0 |a Soft Computing for Recognition Based on Biometrics  |h [electronic resource] /  |c edited by Patricia Melin, Janusz Kacprzyk, Witold Pedrycz. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 |a XII, 456 p. 233 illus., 145 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 312 
505 0 |a Classification Algorithms and Applications -- Soft Computing Approaches to the Problem of Infant Cry Classification with Diagnostic Purposes -- Neural Networks and SVM-Based Classification of Leukocytes Using the Morphological Pattern Spectrum -- Hybrid System for Cardiac Arrhythmia Classification with Fuzzy K-Nearest Neighbors and Neural Networks Combined by a Fuzzy Inference System -- A Comparative Study of Blog Comments Spam Filtering with Machine Learning Techniques -- Distributed Implementation of an Intelligent Data Classifier -- Pattern Recognition -- Modular Neural Network with Fuzzy Integration and Its Optimization Using Genetic Algorithms for Human Recognition Based on Iris, Ear and Voice Biometrics -- Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions -- Modular Neural Network for Human Recognition from Ear Images Using Wavelets -- Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement -- Real Time Face Identification Using a Neural Network Approach -- Comparative Study of Feature Extraction Methods of Fuzzy Logic Type 1 and Type-2 for Pattern Recognition System Based on the Mean Pixels -- Optimization Methods -- Application of the Bee Swarm Optimization BSO to the Knapsack Problem -- An Approach Based on Neural Networks for Gas Lift Optimization -- A New Evolutionary Method with Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Systems to Dynamically Parameter Adaptation -- Local Survival Rule for Steer an Adaptive Ant-Colony Algorithm in Complex Systems -- Using Consecutive Swaps to Explore the Insertion Neighborhood in Tabu Search Solution of the Linear Ordering Problem -- A New Optimization Method Based on a Paradigm Inspired by Nature -- Theory and Algorithms -- Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies -- Parallel Genetic Algorithms for Architecture Optimization of Neural Networks for Pattern Recognition -- Scene Recognition Based on Fusion of Color and Corner Features -- Improved Tabu Solution for the Robust Capacitated International Sourcing Problem (RoCIS) -- Variable Length Number Chains Generation without Repetitions -- Comparative Analysis of Hybrid Techniques for an Ant Colony System Algorithm Applied to Solve a Real-World Transportation Problem -- Computer Vision Applications -- Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks -- Intelligent Method for Contrast Enhancement in Digital Video -- Method for Obstacle Detection and Map Reconfiguration in Wheeled Mobile Robotics -- Automatic Dust Storm Detection Based on Supervised Classification of Multispectral Data. 
520 |a We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algo-rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Biometrics (Biology). 
650 0 |a Engineering design. 
650 1 4 |a Engineering. 
650 2 4 |a Engineering Design. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Biometrics. 
700 1 |a Melin, Patricia.  |e editor. 
700 1 |a Kacprzyk, Janusz.  |e editor. 
700 1 |a Pedrycz, Witold.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642151101 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 312 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-15111-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)