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Gender recognition is a process of recognizing a person¿s gender from their facial image using deep learning. The posed variation, illumination, and occlusion are some of the factors that affect in recognizing faces. These are reduced by increasing the accuracy of prediction. The network used for training the system is Convolutional Neural Network (CNN). For improving accuracy, the faces are detected and cropped from the image. Face detection is done using Open CV which detects the face by the frontal features of the face. This is done during training the network. The dataset used for training has cropped images.
| Autorius: | K. Ramalakshmi, T Jemima Jebaseeli, R. Venkatesan, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 52 |
| ISBN-10: | 6202795425 |
| ISBN-13: | 9786202795425 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Prediction Of Gender From Facial Image Using Deep Learning Techniques: Gender Recognition“
