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Multi-View Face Recognition by Neural Network


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1 Government Engineering College, Jagdalpur, Chhattisgarh, India
     

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Multiple views face recognition has become significant in various requisitions, such as observation, human workstation connection, and recreation. A reduction based feature extraction and neural network inspired by biological neurons for learning and recognising the multiple views faces of the person has been presented in this paper. Neural Network (NN)the significant in the places where formulating an algorithmic solution is difficult and we need to retrieve the structure from existing and predefined data. Multi-view face recognition is required here because it's more feasible and reliable than single view face recognition.

Keywords

Multi-Views, Facial Recognition, Artificial Neural Network, FF-BPA, Feature Extraction, Segmentation.
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  • Multi-View Face Recognition by Neural Network

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Authors

Sanjay Kumar Dekate
Government Engineering College, Jagdalpur, Chhattisgarh, India
Anupam Shukla
Government Engineering College, Jagdalpur, Chhattisgarh, India

Abstract


Multiple views face recognition has become significant in various requisitions, such as observation, human workstation connection, and recreation. A reduction based feature extraction and neural network inspired by biological neurons for learning and recognising the multiple views faces of the person has been presented in this paper. Neural Network (NN)the significant in the places where formulating an algorithmic solution is difficult and we need to retrieve the structure from existing and predefined data. Multi-view face recognition is required here because it's more feasible and reliable than single view face recognition.

Keywords


Multi-Views, Facial Recognition, Artificial Neural Network, FF-BPA, Feature Extraction, Segmentation.

References