Semantic Assisted Convolutional Neural Networks in Face Recognition

Kalyani Deepak Sonawane
International Research Journal of Engineering and Technology (IRJET)   unpublished
In today's age of automation; face recognition is a vital component for authorization and security. The principal aim of facial analysis is to extract valuable information from face images, such as its position in the image, facial characteristics, facial expressions, the person's gender or identity It has received substantial attention from researchers in various fields of science such as biometrics and computer vision. A convolutional neural network is a deep learning algorithm that is used
more » ... ithm that is used in object recognition. The philosophy of a CNN is to train the network, the same way as a human learns things. The proposed system is a new framework to efficiently and accurately match face images that are automatically acquired under less-constrained environments. Our framework, referred to as semantics-assisted convolutional neural networks (SCNNs), incorporates explicit semantic information to automatically recover comprehensive face features. The proposed system is a new framework to efficiently and accurately match face images that are automatically acquired under less-constrained environments. The paper refers to semantics-assisted convolutional neural networks (SCNNs), incorporates explicit semantic information to automatically recover comprehensive face features.
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