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A Cloud Face Recognition System using A New Optimal Local Binary Pattern

Published: 29 March 2017 Publication History

Abstract

Local Binary Pattern (LBP) is a non-parametric descriptor largely used in different pattern recognition fields. In last years, to solve basic LBP descriptor shortcomings, many LBP varieties are proposed. Here, we propose an adaptive local feature descriptor for face recognition based on optimization criteria. To further accentuate the significant face components, the new value of current pixel is computed using optimal contributions of its eight neighboring pixels by minimization under the constraints of an evaluation function based on the entropy. In addition, the Two Dimensional Linear Discriminant Analysis (2DLDA) will be used to reduce face features vector. Then, Sequential Minimal Optimization (SMO) machine learning algorithm will be used to classify the features dataset. The experiments on ORL and Yale face databases show that the proposed LBP variety have good and robust recognition performance. Moreover, our proposed approach can be generalized for huge faces' databases using cloud computing benefits.

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Cited By

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  • (2022)Toward a new face recognition approach using OptimLBP and Learning Classifiers2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM55661.2022.9966423(1-6)Online publication date: 26-Oct-2022
  • (2019)Impact of Multistep Forecasting Strategies on Recurrent Neural Networks Performance for Short and Long HorizonsProceedings of the 4th International Conference on Big Data and Internet of Things10.1145/3372938.3372979(1-8)Online publication date: 23-Oct-2019

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              cover image ACM Other conferences
              BDCA'17: Proceedings of the 2nd international Conference on Big Data, Cloud and Applications
              March 2017
              685 pages
              ISBN:9781450348522
              DOI:10.1145/3090354
              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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              • Ministère de I'enseignement supérieur: Ministère de I'enseignement supérieur

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              Published: 29 March 2017

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              Author Tags

              1. 2DLDA
              2. Cloud Computing
              3. Constraints
              4. LBP
              5. Minimization
              6. Optim-LBP
              7. Optimization
              8. SMO

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              • (2022)Toward a new face recognition approach using OptimLBP and Learning Classifiers2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)10.1109/WINCOM55661.2022.9966423(1-6)Online publication date: 26-Oct-2022
              • (2019)Impact of Multistep Forecasting Strategies on Recurrent Neural Networks Performance for Short and Long HorizonsProceedings of the 4th International Conference on Big Data and Internet of Things10.1145/3372938.3372979(1-8)Online publication date: 23-Oct-2019

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