This paper presents an effective and robust facial feature descriptor based on the directional ternary pattern (DTP) for
face recognition. The DTP operator encodes the texture information of a local region by labeling the edge response
values in all eight directions around a pixel with three different levels. The coding scheme exploits a threshold in order to
differentiate between smooth and high-textured face regions while forming the ternary code. The location and occurrence
information of the DTP micro-patterns within the facial image is then used as the feature descriptor. The effectiveness of
the proposed method is evaluated with the FERET face image database using template matching (TM). Extensive
experiments show the superiority of the DTP feature descriptor against some well-known local pattern-based feature
representation methods.
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