Feature Average Based Face Recognition by Garad Akram (6 results)

Paperback. Condition: Brand New. 84 pages. 8.66x5.91x0.19 inches. In Stock.

Taschenbuch. Condition: Neu. Feature-Average Based Face Recognition Using Neural Networks | Akram A. Garad | Taschenbuch | 84 S. | Englisch | 2017 | Noor Publishing | EAN 9783330844391 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book attempts to provide an automatic face recognition system based on the important facial features from multi-expression sequence face images. The designed system is based on feature-average based using back propagation neural networks. The system has separated into three major phases, feature extraction, averaging (approximation), and face recognition. The feature extraction phase has been implemented on assumption the location of the essential features of the face. The average phase has been implemented to reduce the diemensions of the features vectors by taking the average of the features from the multi expression faces. Finally tHe face recognition classification has been applied using back propagation neural networks. . 84 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: A. Garad AkramMr. Garad has a Msc. in Electronics and Telecommunication Engineering, from NEU- Nicosia. He is a lecturer in Engineering Department in Palestine Technical college, Palestine. He has many contributions in artificial int.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book attempts to provide an automatic face recognition system based on the important facial features from multi-expression sequence face images. The designed system is based on feature-average based using back propagation neural networks. The system has separated into three major phases, feature extraction, averaging (approximation), and face recognition. The feature extraction phase has been implemented on assumption the location of the essential features of the face. The average phase has been implemented to reduce the diemensions of the features vectors by taking the average of the features from the multi expression faces. Finally tHe face recognition classification has been applied using back propagation neural networks. .Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book attempts to provide an automatic face recognition system based on the important facial features from multi-expression sequence face images. The designed system is based on feature-average based using back propagation neural networks. The system has separated into three major phases, feature extraction, averaging (approximation), and face recognition. The feature extraction phase has been implemented on assumption the location of the essential features of the face. The average phase has been implemented to reduce the diemensions of the features vectors by taking the average of the features from the multi expression faces. Finally tHe face recognition classification has been applied using back propagation neural networks. .