Abdelghafour Abbad, Hamid Tairi, "Combining Jaccard and Mahalanobis Cosine Distance to Enhance the Face Recognition Rate," WSEAS Transactions on Signal Processing, vol. 12, pp. 171-178, 2016, DOI:
Abdelghafour Abbad, Hamid Tairi. Combining Jaccard and Mahalanobis Cosine Distance to Enhance the Face Recognition Rate.
WSEAS Transactions on Signal Processing. 2016;12:171-178.
WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 12, 2016
Combining Jaccard and Mahalanobis Cosine Distance to Enhance the Face Recognition Rate
Authors: ,
Abstract: Facial recognition has become the most dynamic biometric technology. In recent years, it has become a very powerful tool for recognition and authentication of biometric systems. To increase the performance of face recognition algorithms, we propose a new face recognition method which consists in combining, Jaccard and Mahalanobis Cosine distance (JMahCosine). Recognition Rates obtained on a facial recognition system shows the interest of the proposed technique, compared to others methods of literature. Our system has been tested on different databases accessible to the public, namely ORL, YALE and Sheffield.
Keywords:
Facial biometrics, Dissimilarity Measure, Jaccard distance, Mahalanobis Cosine distance, recognition Rate
Pages: 171-178 WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 12, 2016, Art. #21 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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