On multiple imputation-based reconstruction of degraded faces and recognition in multiple constrained environments

Simple item page
dc.contributor.authorMensah, J.A.
dc.contributor.authorOcran, E.
dc.contributor.authorAsiedu, L.
dc.date.accessioned2023-12-20T10:50:43Z
dc.date.available2023-12-20T10:50:43Z
dc.date.issued2023
dc.descriptionResearch Articleen_US
dc.description.abstractRecognition of degraded frontal face images acquired under occlusion constraints remain challenging despite the plethora of reconstruction mechanisms. Though recent works have lever aged on some imputation mechanisms in this regard, their robustness in multiple constrained environments may not be guaranteed and may be affected by the choice of pre-processing mechanism. This paper proposes enhancement mechanisms that augment or complement the use of three (3) multiple imputation mechanisms for facial reconstruction in the presence of multiple constraints (10% and 20% occlusions and varying facial expressions). Specifically, we propose the use of a Discrete Cosine Transform-based (DCT) denoising or a Discrete Wavelet based denoising following Histogram Equalization (HE-DWT) of the reconstructed face images prior to recognition. Experimental results showed that the proposed augmented enhancements improved significantly the recognition rates (90.63% & 91.15% and 86.98% & 85.94% for DCT and HE-DWT at 10% and 20% occlusion levels respectively for Missforest de-occluded face images) as compared with DWT in recognizing degraded frontal face images under moderately low levels of occlusions and varying expressions.en_US
dc.identifier.urihttp://ugspace.ug.edu.gh:8080/handle/123456789/41007
dc.language.isoenen_US
dc.publisherScientific Africanen_US
dc.subjectMultiple imputation methodsen_US
dc.subjectFace recognitionen_US
dc.subjectMultiple constraintsen_US
dc.subjectOcclusionsen_US
dc.subjectDiscrete cosine transformen_US
dc.titleOn multiple imputation-based reconstruction of degraded faces and recognition in multiple constrained environmentsen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
On multiple imputation-based reconstruction of degraded faces and.pdf
Size:
6.01 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Department of Statistics