An efficient non-occluded face area detection method under unconstrained environment of smartphone database

Citation

Hassan, Noor Amjed and Khalid, Fatimah and O. K. Rahmat, Rahmita Wirza and Madzin, Hizmawati (2019) An efficient non-occluded face area detection method under unconstrained environment of smartphone database. In: 2019 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2019), 17-19 Sept. 2019, Kuala Lumpur, Malaysia. (pp. 291-295).

Abstract

Occlusion is one of the most challenging problems for recognizing faces captured in unconstrained conditions. This paper focuses on direct detect the useful part in the face which used for features extraction process. To solve occlusion problem and detect un occluded face parts, a Non-Occluded Face Area Detection (NOFAD) method based on geometric features is proposed. The performance of the proposed method is evaluated on the SFV and MOBIO databases, and the experimental results show the outperformance of the proposed method in extracting the non-occluded facial area, realising an accuracy rate of 99.4% and 99.1%, respectively.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/ICSIPA45851.2019.8977765
Publisher:	IEEE
Keywords:	Face detection; Face recognition; Occlusion; Geometric features; Smartphone database
Depositing User:	Nabilah Mustapa
Date Deposited:	03 Jun 2020 06:31
Last Modified:	03 Jun 2020 06:31
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICSIPA45851.2019.8977765
URI:	http://psasir.upm.edu.my/id/eprint/78095
Statistic Details:	View Download Statistic

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