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    Experiments on deep face recognition using partial faces

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    Publication date
    2018
    Author
    Elmahmudi, Ali A.M.
    Ugail, Hassan
    Keyword
    Face recognition
    Partial face
    Deep learning
    Cosine similarity
    Support vector machine
    Feature extraction
    Machine learning
    Rights
    © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Peer-Reviewed
    Yes
    
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    Abstract
    Face recognition is a very current subject of great interest in the area of visual computing. In the past, numerous face recognition and authentication approaches have been proposed, though the great majority of them use full frontal faces both for training machine learning algorithms and for measuring the recognition rates. In this paper, we discuss some novel experiments to test the performance of machine learning, especially the performance of deep learning, using partial faces as training and recognition cues. Thus, this study sharply differs from the common approaches of using the full face for recognition tasks. In particular, we study the rate of recognition subject to the various parts of the face such as the eyes, mouth, nose and the forehead. In this study, we use a convolutional neural network based architecture along with the pre-trained VGG-Face model to extract features for training. We then use two classifiers namely the cosine similarity and the linear support vector machine to test the recognition rates. We ran our experiments on the Brazilian FEI dataset consisting of 200 subjects. Our results show that the cheek of the face has the lowest recognition rate with 15% while the (top, bottom and right) half and the 3/4 of the face have near 100% recognition rates.
    URI
    http://hdl.handle.net/10454/16872
    Version
    Accepted manuscript
    Citation
    Elmahmudi AAM and Ugail H (2018) Experiments on deep face recognition using partial faces. In: 2018 International Conference on Cyberworlds (CW). 3-5 Oct 2018, Singapore. 357-362.
    Link to publisher’s version
    https://doi.org/10.1109/CW.2018.00071
    Type
    Conference paper
    Collections
    Engineering and Informatics Publications

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