Orthogonal Image Moments for Human-Centric Visual Pattern Recogniti...
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Orthogonal Image Moments for Human-Centric Visual Pattern Recognition

Dimitrios Hatzinakos, Tamanna Howlader, S. M. Mahbubur Rahman


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Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition.
 
The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.

About the book
Author
Dimitrios  Hatzinakos , Tamanna  Howlader , S. M. Mahbubur  Rahman
Imprint
Springer
Collection
Cognitive Intelligence and Robotics
Publication date
2019-10-11
Pages
149 pages
Print ISBN
9789813299443
Language
English
Ebook informations
EAN PDF
9789813299450
Price
£89.50
Read more
Copy count 1
Print count 14
File size 6349 Ko
Ce livre est accessible aux handicaps   Informations accessibility
EAN EPUB
9789813299450
Price
£89.50
Read more
Copy count 1
Print count 14
File size 25743 Ko
Ce livre est accessible aux handicaps   Informations accessibility
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