1st Edition
Logo Recognition Theory and Practice
Introduction
Motivation
Shape recognition
Proposed method
Objectives
Assumptions and input data
Book organization
Preliminary knowledge
Statistics
Probability
Random variable
Expected value
Variance and deviation
Covariance and correlation
Moment-generating function
Fourier transform
Structural and syntactic pattern recognition
Introduction
Grammar-based passing method
Graph-based matching methods
Neural network
Architecture
Learning process
Summary
Review of shape recognition techniques
2D shape recognition
Shape representation
Shape recognition approaches
Logo recognition
Statistical approach
Syntactic/structural approach
Neural network
Hybrid approach
Polygonal approximation
Indexing
Matching
Distance measure
Hausdorff distance
Summary
System overview
Preprocessing
Polygonal approximation
Indexing
Matching
Polygonal approximation
Feature point detection overview
Dynamic two-strip algorithm
The proposed method
Results
Comparison with other methods
Summary
Logo indexing
Normalization
Indexing
Reference angle indexing (filter 1)
Line orientation indexing (filters 2 and 3)
Experimental results
Summary
Logo matching
Hausdorff distance
Modified LHD (MLHD)
Experimental results
Matching results
Degradation analysis
Results analysis with respect to the LHD and the MHD
Discussion and comparison with other methods
Summary
Applications
Mobile visual search with GetFugu
Using logo recognition for anti-phishing and Internet brand monitoring
The LogoTrace library
Real-time vehicle logo recognition
Summary
Conclusion
Book summary
Contribution
Future work
Book conclusion
References
Appendix Test images
Appendix Results of feature point detection
Index
Biography
Jingying Chen, Lizhe Wang, Dan Chen
"I was inspired by this book project at the very beginning; now the book appears to be even a better idea when I really have it in hand. The resulting appraisal is thoughtful, creative, and comprehensive."
—From the Foreword by Professor Xiaoli Li, College of Information Science and Technology, Beijing Normal University
"… Overall the book is well written and easy to follow … understandable and well formulated. I recommend it to readers willing to learn about logo recognition systems and potential commercial applications of shape recognition tools."
—Journal of Intelligent and Robotic Systems
