Kumaar, Saumya and Vishwanath, Ravi M and Omkar, SN and Majeedi, Abrar and Dogra, Abhinandan (2019) Disguised Facial Recognition Using Neural Networks. In: 2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), 13-15 July 2018, Shenzhen, China, pp. 28-32.
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Abstract
In this paper, we present a real-time deep neural network architecture (called DiFRuNNT) for disguised face verification. The proposed model consists of two neural networks, first one being a convolutional neural network (CNN) that predicts 20 facial key-points in the image and the second neural network classifies the subject based on the angles and ratios calculated from the predicted points. The accuracies are 67.4% and 74.8% for prediction and classification respectively and the results have been compared with the state-of-the-art methodologies also.
Item Type: | Conference Proceedings |
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Publisher: | IEEE |
Additional Information: | Copyright for this article belongs to IEEE |
Keywords: | Convolutional Neural Networks; Facial Keypoints; Disguised Face Identification; Angular Orientations |
Department/Centre: | Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering) |
Date Deposited: | 27 May 2019 06:09 |
Last Modified: | 27 May 2019 06:09 |
URI: | http://eprints.iisc.ac.in/id/eprint/62619 |
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