Face Parts Recognition Using Deep Neural Networks
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
This paper has expressed overall procedure of the facial recognition with its importance and essential beneficial factors. CNN and ML methods are used to find out the accuracy of the model for which data test train and features extraction has been processed. The output accuracy is observed to be 91.8%. Involvement of optimizers, batch normalization and dropout functionalities reported advantages in proposed CNN model. © 2021 IEEE.
Description
Keywords
batch normalization, CNN, data train test and split, features extraction, ML algorithms
Citation
Proceedings of International Conference on Technological Advancements and Innovations, ICTAI 2021, 2021, Vol., , p. 653-658