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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Human Face Recognition Using Third-Order Synthetic Neural Networks

Human Face Recognition Using Third-Order Synthetic Neural Networks

Uwechue, Okechukwu A.
Pandya, Abhijit S.

Hardcover

Series: The Springer International Engineering and Computer Science, Book 410

General ComputersProgramming

ISBN10: 0792399579
ISBN13: 9780792399575
Publisher: Springer Nature
Published: Jun 30 1997
Pages: 123
Weight: 0.84
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
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.

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