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Face recognition based on global and local features

Published: 24 March 2014 Publication History

Abstract

This paper presents an evaluation of different methods considering the usually problems in face recognition. We consider variations in illumination, facial expression and facial details to propose a new method combining global and local face image features. This approach combines PCA, 2D-DCT and Gabor Wavelet Transform to obtain the global and local features representation. The Nearest Neighbor using the Euclidean distance performs the classification. The experiments were performed in the classical ORL and Yale face recognition databases. The proposed approach presented interesting results in comparison with the literature methods.

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Cited By

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  • (2017)Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial FeaturesComputer Vision10.1007/978-981-10-7302-1_5(51-61)Online publication date: 30-Nov-2017
  • (2017)A New Approach for Suspect Detection in Video SurveillanceInformation and Communication Technology for Sustainable Development10.1007/978-981-10-3920-1_44(433-441)Online publication date: 8-Nov-2017

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  1. Face recognition based on global and local features

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    cover image ACM Conferences
    SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
    March 2014
    1890 pages
    ISBN:9781450324694
    DOI:10.1145/2554850
    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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    Publication History

    Published: 24 March 2014

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    Author Tags

    1. 2D-DCT
    2. artificial neural nerworks
    3. face recognition
    4. gabor filters
    5. wavelets

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    SAC 2014: Symposium on Applied Computing
    March 24 - 28, 2014
    Gyeongju, Republic of Korea

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    SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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    View all
    • (2017)Robust Face Recognition Against Eyeglasses Interference by Integrating Local and Global Facial FeaturesComputer Vision10.1007/978-981-10-7302-1_5(51-61)Online publication date: 30-Nov-2017
    • (2017)A New Approach for Suspect Detection in Video SurveillanceInformation and Communication Technology for Sustainable Development10.1007/978-981-10-3920-1_44(433-441)Online publication date: 8-Nov-2017

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