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Author: Ladislav Lenc

Affiliation: University of West Bohemia, Czech Republic

Keyword(s): Face Recognition, Genetic Algorithm, Local Binary Patterns, LBP, Patterns of Oriented Edge Magnitudes, POEM.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: This paper presents a novel algorithm for weight optimization in descriptor based face recognition methods. We aim at the local texture features that are currently very popular in the face recognition (FR) field. Common concept in such methods is creating histograms of the operator values in rectangular image regions and concatenating them into one large vector called histogram sequence (HS). Usually the facial regions are given equal weight which does not correspond with the reality. We deal with this issue in this work and propose a novel method that optimizes the weights of the regions. The optimization method is based on a genetic algorithm (GA). We test the method together with the local binary patterns (LBP) and patterns of oriented edge magnitudes (POEM) descriptors. We evaluate our algorithms on two real-world corpora: Unconstrained facial images (UFI) database and FaceScrub database. The evaluation results show that the weighted methods outperform the non-weighted ones. The best achieved scores are 68.93% on the UFI database and 57.81% on the FaceScrub database. (More)

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Paper citation in several formats:
Lenc, L. (2016). Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-172-4; ISSN 2184-433X, SciTePress, pages 330-336. DOI: 10.5220/0005704403300336

@conference{icaart16,
author={Ladislav Lenc.},
title={Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2016},
pages={330-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005704403300336},
isbn={978-989-758-172-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Genetic Algorithm for Weight Optimization in Descriptor based Face Recognition Methods
SN - 978-989-758-172-4
IS - 2184-433X
AU - Lenc, L.
PY - 2016
SP - 330
EP - 336
DO - 10.5220/0005704403300336
PB - SciTePress

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