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Disguised Facial Recognition Using Neural Networks

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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Official URL: https://doi.org/10.1109/SIPROCESS.2018.8600440


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
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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