oa Face Recognition Using Deep Neural Network
- Authors: Namra Samin1, Warsha Jagati2, Shailza Roy3, Yogesh Kumar4
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View Affiliations Hide AffiliationsAffiliations: 1 Amity School of Engineering & Technology, Amity University, Uttar Pradesh, Noida, India 2 Amity School of Engineering & Technology, Amity University, Uttar Pradesh, Noida, India 3 Amity School of Engineering & Technology, Amity University, Uttar Pradesh, Noida, India 4 Amity School of Engineering & Technology, Amity University, Uttar Pradesh, Noida, India
- Source: Global Emerging Innovation Summit (GEIS-2021) , pp 193-201
- Publication Date: November 2021
- Language: English
Face Recognition Using Deep Neural Network, Page 1 of 1
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There is rapid development in the field of image processing. Now, there are a lot of models for face recognition in the whole world. In the field of image recognition, the arrival of deep learning theory has evolved drastically. In todays world, biometric is used everywhere and the expectations from the system are that it provides positive results in any kind of situation as the quality, alignment, facial expression, and reflection of the picture make it difficult for the machine to validate it. Thus, there is an alternative model to the traditional neural network model which is Convolutional Neural Network (CNN) models which are deep learning models. This model includes the process in which at first the machine is trained with the data set and then the validation is done.
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