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A System for Disguised Face Recognition with Convolution Neural Networks

Published: 12 November 2018 Publication History

Abstract

Face recognition technology has been quite advanced in recent years and has been applied to various daily necessities and applications. However, people may make a false positive feature of the masked camouflage face because of makeup or wearing different equipment. In this paper, a two-stage disguise face recognition method based on CNN is proposed for the disguised face wearing equipment. In the first stage, we train a network that identifies the type of equipment and extracts the remaining faces that are not disguised. In the second stage of identification, the extracted remaining faces use the identified network for identity identification. The experimental results show that the proposed method has reached an average of 97.6% accuracy in the first stage of equipment type recognition. In the second stage of disguise face identification, 72.4% identification rate was obtained. The proposed method in this paper has reached the identification rate of the disguise identification research in recent years. The results of the above two stages show that the proposed method can effectively identify the type of disguise worn when people wear disguise. Then, the facial information of the disguise is removed to achieve a certain identity recognition effect.

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Cited By

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  • (2023)Regenerating vital facial keypoints for impostor identification from disguised images using CNNExpert Systems with Applications10.1016/j.eswa.2023.119669219(119669)Online publication date: Jun-2023
  • (2022)Does Father Christmas Have a Distinctive Facial Phenotype?Vision10.3390/vision60400716:4(71)Online publication date: 2-Dec-2022
  • (2022)DFVNet: Real-Time Disguised Face Verification2022 IEEE India Council International Subsections Conference (INDISCON)10.1109/INDISCON54605.2022.9862884(1-5)Online publication date: 15-Jul-2022
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  1. A System for Disguised Face Recognition with Convolution Neural Networks

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    cover image ACM Other conferences
    DMIP '18: Proceedings of the 2018 International Conference on Digital Medicine and Image Processing
    November 2018
    88 pages
    ISBN:9781450365789
    DOI:10.1145/3299852
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 12 November 2018

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    Author Tags

    1. Convolutional neural network
    2. Deep learning
    3. Disguised face recognition
    4. Disguised type detection

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    View all
    • (2023)Regenerating vital facial keypoints for impostor identification from disguised images using CNNExpert Systems with Applications10.1016/j.eswa.2023.119669219(119669)Online publication date: Jun-2023
    • (2022)Does Father Christmas Have a Distinctive Facial Phenotype?Vision10.3390/vision60400716:4(71)Online publication date: 2-Dec-2022
    • (2022)DFVNet: Real-Time Disguised Face Verification2022 IEEE India Council International Subsections Conference (INDISCON)10.1109/INDISCON54605.2022.9862884(1-5)Online publication date: 15-Jul-2022
    • (2022)Synthetic Occluded Masked Face Recognition using Convolutional Neural Networks2022 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)10.1109/IAICT55358.2022.9887517(124-129)Online publication date: 28-Jul-2022
    • (2021)An automated and efficient convolutional architecture for disguise-invariant face recognition using noise-based data augmentation and deep transfer learningThe Visual Computer10.1007/s00371-020-02031-zOnline publication date: 7-Jan-2021
    • (2020)Surgical face masks impair human face matching performance for familiar and unfamiliar facesCognitive Research: Principles and Implications10.1186/s41235-020-00258-x5:1Online publication date: 19-Nov-2020

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