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Proceedings Paper

Face recognition with directional ternary pattern (DTP)
Author(s): Md. Hasanul Kabir; Faisal Ahmed
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Paper Abstract

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.

Paper Details

Date Published: 14 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87687E (14 March 2013); doi: 10.1117/12.2009559
Show Author Affiliations
Md. Hasanul Kabir, Islamic Univ. of Technology (Bangladesh)
Faisal Ahmed, Islamic Univ. of Technology (Bangladesh)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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