Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101776
Title: Local line derivative pattern for face recognition
Authors: Lian, Zhichao
Er, Meng Joo
Cong, Yang
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Abstract: In this paper, we propose a novel face descriptor for face recognition, named Local Line Derivative Pattern (LLDP). High-order derivative images in two directions are obtained by convolving original images with Sobel Masks. A revised binary coding function is proposed and three standards on arranging the weights are also proposed. Based on the standards, the weights of a line neighborhood in two directions are arranged. The LLDP labels in two directions are calculated with the proposed binary coding function and weights. The labeled image is divided into blocks where spatial histograms are extracted separately and concatenated into an entire histogram as features for recognition. The experiments on the FERET and Extended Yale B show superior performances of the proposed LLDP compared to other existing methods based on the LBP. The results prove that the LLDP has good robustness against expression, illumination and aging variations.
URI: https://hdl.handle.net/10356/101776
http://hdl.handle.net/10220/12938
DOI: 10.1109/ICIP.2012.6467143
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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