Table of Contents

Introduction. The Need for Automated Approaches to Species Identification. Is Automated Species Identification Feasible? Natural Object Recognition: Machines Vs. Humans. Homology and Morphometrics: An Old Theme Revisited. Plastic Self-Organizing Maps. Decision Trees: A Machine-learning Methodology to Analyze the Relationship between Skeletal Morphology and Ecological Adaptations. DAISY: A Practical Computer Based Tool for Semi-Automated Species Identification. Introducing SPIDA-web: An Automated Identification System for Biological Species. Automated Extraction and Analysis of Morphological Features for Species Identification. Pattern Recognition for Ecological Science and Environmental Monitoring. Identification of Botanical Taxa using Artificial Neural Networks. Use of Neural Nets in Identification of Spheniscid Species. Drawing the Line: the Differentiation Between Morphological Plasticity and Interspecific Variation. Summary and Prospectus.

About the Author

Norman MacLeod