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Home  >  Volume 43

20. Face Recognition Using Huffman Coding and Mahalanobis Distance by Akinrotimi Akinyemi Omololu and Oladele Rufus Olalere JNAMP Vol. 43,(Sept, Nov., 2017), pp 139 – 142
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Abstract

Face recognition is the identification of humans by the unique characteristics of their Faces. Face recognition technology is the least intrusive and fastest bio-metric technology. It works with the most obvious individual identifier, which is the human face. This research aims at providing a binary encoded format for extracting features from human faces using Huffman encoding and the Mahalanobis distance for distance similarity measures and face recognition purposes. The accuracy of the system was measured based on image size variation using the true positive, true negative, false positive and false negative statistical metrics.

Keywords:Face Recognition, Huffman Coding, Mahalanobis Distance, Compression, Classification accuracy.

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