Recognition of Reconstructed Frontal Face Images Using FFT-PCA/SVD Algorithm

Face recognition has gained prominence among the various biometric-based methods (such as fingerprint and iris) due to its noninvasive characteristics. Modern face recognition modules/algorithms have been successful in many application areas (access control, entertainment/leisure, security system ba...

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Bibliographic Details
Published in:Journal of applied mathematics 2020, Vol.2020 (2020), p.1-8
Main Authors: Asiedu, Louis, Mettle, Felix O., Mensah, Joseph A.
Format: Article
Language:English
Subjects:
Access control
Accuracy
Algorithms
Analysis
Biometry
Face recognition
Fast Fourier transformations
Image databases
Image reconstruction
Man-machine interfaces
Modules
Object recognition
Pattern recognition
Principal components analysis
Security systems
Singular value decomposition
Symmetry
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Summary:Face recognition has gained prominence among the various biometric-based methods (such as fingerprint and iris) due to its noninvasive characteristics. Modern face recognition modules/algorithms have been successful in many application areas (access control, entertainment/leisure, security system based on biometric data, and user-friendly human-machine interfaces). In spite of these achievements, the performance of current face recognition algorithms/modules is still inhibited by varying environmental constraints such as occlusions, expressions, varying poses, illumination, and ageing. This study assessed the performance of Principal Component Analysis with singular value decomposition using Fast Fourier Transform (FFT-PCA/SVD) for preprocessing the face recognition algorithm on left and right reconstructed face images. The study found that average recognition rates for the FFT-PCA/SVD algorithm were 95% and 90% when the left and right reconstructed face images are used as test images, respectively. The result of the paired sample t-test revealed that the average recognition distances for the left and right reconstructed face images are not significantly different when FFT-PCA/SVD is used for recognition. FFT-PCA/SVD is recommended as a viable algorithm for recognition of left and right reconstructed face images.
ISSN:1110-757X
1687-0042
DOI:10.1155/2020/9127465