Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science) [Hardcover]

Okechukwu A. Uwechue (Author), Abhijit S. Pandya (Author)

Book Description

Publication Date: June 30, 1997 | ISBN-10: 0792399579 | ISBN-13: 978-0792399575 | Edition: 1st

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.

Product Details

• Hardcover: 144 pages
• Publisher: Springer; 1st edition (June 30, 1997)
• Language: English
• ISBN-10: 0792399579
• ISBN-13: 978-0792399575
• Product Dimensions: 9.5 x 6.1 x 0.6 inches
• Shipping Weight: 12 ounces (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #7,436,948 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

0 of 1 people found the following review helpful:

5.0 out of 5 stars Well recommended ..., August 30, 2003

By A Customer

This review is from: Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science) (Hardcover)

Well written and clear material.
As a researcher in dynamical systems, I found this book a very interesting introduction to neural nets.
Would like to see the section on genetic programming fleshed out even further.

0 of 6 people found the following review helpful:

5.0 out of 5 stars ENVIO DE INFORMACION, May 21, 1999

By A Customer

This review is from: Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science) (Hardcover)

DESEAMOS OBTENER MAS INFORMACION SOBRE EL TEMA, SOMOS UNA INSTITUCION EDUCATIVA ESPECIALIZADA EN EL CAMPO DE LA CRIMINALISTICA.

AGRADECEMOS LA COLABORACION PRESTADA, SI ES POSIBLE NOS GUSTARIA UN DEMO.