Human Face Recognition Using Third-Order Synthetic Neural Networks (The Springer International Series in Engineering and Computer Science, 410)

Uwechue, Okechukwu A.; Pandya, Abhijit S.

ISBN 10: 1461368324 / ISBN 13: 9781461368328

Editore: Springer, 2012

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Titolo: Human Face Recognition Using Third-Order ...

Casa editrice: Springer

Data di pubblicazione: 2012

Legatura: Brossura

Condizione: New

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Riassunto:

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.

Contenuti:

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.