Performance Analysis of Semantic Assisted Convolutional Neural Networks in Face Recognition
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 6
Abstract
In today's age of automation, face recognition is a vital component for authorization and security. It has received substantial attention from researchers in various fields of science such as biometrics and computer vision. Recently, deep convolutional neural networks have set a new trend in fields of face recognition by improving the state-of-the-art performance. By using deep neural networks, much more sophisticated and high level abstracted features can be learned automatically. In this paper, we propose a method for face recognition using semantic assisted convolutional neural network.(SCNN) . Our framework, referred to as SCNNs, incorporates explicit semantic information to automatically recover comprehensive face features. We demonstrate the performance of the SCNN model beginning from CNN basics. We then show results for face analysis using an external database with respect to existing systems basically NN and CNN. The results of the proposed approach were very encouraging and demonstrate superiority when compared with other techniques.
Authors and Affiliations
Kalyani D Sonawane, Dr. Sudhir D Sawarkar, Prof Archana Gulati
Keywords
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