Face recognition using improved local line binary pattern

Wuh Shing Chai; Bakhtiar Affendi Rosdi; Shahrel Azmin Suandi

doi:10.1117/12.968566

8 June 2012 Face recognition using improved local line binary pattern

Wuh Shing Chai, Bakhtiar Affendi Rosdi, Shahrel Azmin Suandi

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833445 (2012) https://doi.org/10.1117/12.968566
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

This paper presents a new technique, named Improved Local Line Binary Pattern (ILLBP), which is an operator for illumination-robust face recognition from a single training image. In order to empirically demonstrate effectiveness of the proposed approach, we use Principal Component Analysis-Nearest Neighbour (PCA-NN) and multi-class Support Vector Machine (SVM) as the classifiers. Comparisons to the Local Line Binary Pattern (LLBP) on Yale Face Database B are also conducted. The advantages of our technique include higher accuracy, lesser complexity and faster computational time compared to LLBP technique.

Citation Download Citation

Wuh Shing Chai, Bakhtiar Affendi Rosdi, and Shahrel Azmin Suandi "Face recognition using improved local line binary pattern", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833445 (8 June 2012); https://doi.org/10.1117/12.968566

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