Human Face Recognition Using Third-Order Synthetic Neural Networks

Okechukwu A Uwechue (u. a.)

ISBN 10: 1461368324 / ISBN 13: 9781461368328

Published by Springer Us, 2012

About this Item

Human Face Recognition Using Third-Order Synthetic Neural Networks | Okechukwu A Uwechue (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | Springer Us | EAN 9781461368328 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

Seller Inventory # 105720906

Bibliographic Details

• Title: Human Face Recognition Using Third-Order Synthetic Neural Networks
• Publisher: Springer Us
• Publication Date: 2012
• Language: English
• ISBN 10: 1461368324
• ISBN 13: 9781461368328
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 9D millimeters 235 millimeters width by 155 millimeters height by 9 millimeters depth
• Weight: 230 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Human Face Recognition Using Third-Order Synthetic Neural Networks explores the viability of the application of High-order synthetic neural network technology to transformation-invariant recognition of complex visual patterns. High-order networks require little training data (hence, short training times) and have been used to perform transformation-invariant recognition of relatively simple visual patterns, achieving very high recognition rates. The successful results of these methods provided inspiration to address more practical problems which have grayscale as opposed to binary patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition is such a problem.
Human Face Recognition Using Third-Order Synthetic Neural Networks serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.