Computational Intelligence in Multi-Feature Visual Pattern Recognition: Hand Posture and Face Recognition using Biologically Inspired Approaches

✍ Scribed by Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh (auth.)

• Publisher: Springer-Verlag Singapur
• Year: 2014
• Tongue: English
• Leaves: 142
• Series: Studies in Computational Intelligence 556
• Edition: 1
• Category: Library

✦ Synopsis

This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.

The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.

✦ Table of Contents

Front Matter....Pages i-xiii
Front Matter....Pages 1-1
Visual Pattern Recognition....Pages 3-9
Computational Intelligence Techniques....Pages 11-19
Multi-Feature Pattern Recognition....Pages 21-37
Front Matter....Pages 39-39
Fuzzy-Rough Discriminative Feature Selection and Classification....Pages 41-61
Hand Posture and Face Recognition Using Fuzzy-Rough Approach....Pages 63-80
Boosting Based Fuzzy-Rough Pattern Classifier....Pages 81-92
Front Matter....Pages 93-93
Hand Posture Recognition Using Neuro-Biologically Inspired Features....Pages 95-106
Attention Based Segmentation and Recognition Algorithm for Hand Postures Against Complex Backgrounds....Pages 107-131
Back Matter....Pages 133-138

✦ Subjects

Computational Intelligence; Pattern Recognition; Algorithms