Uwechue / Pandya Human Face Recognition Using Third-Order Synthetic Neural Networks

1997
ISBN: 978-1-4615-4092-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 410, 123 Seiten, eBook

Reihe: The Springer International Series in Engineering and Computer Science

explores the viability of the application of 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 as opposed to patterns (e.g., alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition such a problem.
serves as an excellent reference for researchers and professionals working on applying neural network technology to the recognition of complex visual patterns.

Zielgruppe

Research

Autoren/Hrsg.

Uwechue, Okechukwu A.

Pandya, Abhijit S.

Inhaltsverzeichnis

Preface. List of Illustrations. List of Tables. 1. Introduction. 2. Face Recognition. 3. Implementation of Invariances. 4. Simple Pattern Recognition. 5. Facial Pattern Recognition. 6. Network Training. 7. Conclusions and Contributions. 8. Future Work. Index.