Książka Deep Neural Network based Image Recognition Hafiz Ahamed

Deep Neural Network based Image Recognition

Język: Angielski
Oprawa: Miękka
Wydawca: Scholars' Press
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
168.61
Image recognition is a challenging problem that has recently received much attention in computer vis...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2019
strony
72
EAN
9786138826828
ISBN
6138826825
Enbook ID
22352382
Wydawca
Waga
118
Wymiary
152 x 229 x 4

Pełny opis

Image recognition is a challenging problem that has recently received much attention in computer vision and machine learning. This book presents a comprehensive overview of the problem of image recognition based on deep neural network. we present an approach to recognize digits using four models i.e. Logistic Regression Model (LRM), Support Vector Machine (SVM), Back Propagation Neural Network (BPNN) & Convolutional Neural Network (CNN). Face recognition is a biometric system used to identify or verify a person from a digital image mostly used in security and surveillance purpose. Thus, we are inspired to inspect the effectiveness of deep neural network on face recognition. we present a deep neural network architecture referred as HOG-CNN for face recognition. The goal is to face recognize faces in real time i.e. using webcam, from a photograph or from a set of faces tracked in a video. This book also presents an approach to recognize objects in real time i.e. using webcam, from a photograph or from a set of objects tracked in a video.

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