Human Face Recognition Using Third-Order Synthetic Neural Networks

von Okechukwu A. Uwechue, Abhijit S. Pandya

123 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: The Springer International Series in Engineering and Computer Science
• ISBN: 9780792399575
• Sprache: Englisch
• Erscheinungsdatum: 30.06.1997
• Genre: Informatik, EDV/Anwendungs-Software
• Verlag: Springer US