Global Emerging Innovation Summit (GEIS-2021)

Face Recognition Using Deep Neural Network

Author(s): Namra Samin*, Warsha Jagati, Shailza Roy and Yogesh Kumar

Pp: 193-201 (9)

DOI: 10.2174/9781681089010121010024


Abstract: 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 today’s 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.

Keywords: Convolutional Neural Network, Deep Learning, Face Recognition, Machine Learning, Microsoft Azure.

Related Journals
Related Books
© 2024 Bentham Science Publishers | Privacy Policy