• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Multiscale Adaptive Local Directional Texture Pattern for Facial Expression Recognition


Abstract

This work presents a novel facial descriptor, which is named as multiscale adaptive local directional texture pattern (MALDTP) and employed for expression recognition. We apply an adaptive threshold value to encode facial image in different scales, and concatenate a series of histograms based on the MALDTP to generate facial descriptor in term of Gabor filters. In addition, some dedicated experiments were conducted to evaluate the performance of the MALDTP method in a person-independent way. The experimental results demonstrate that our proposed method achieves higher recognition rate than local directional texture pattern (LDTP). Moreover, the MALDTP method has lower computational complexity, fewer storage space and higher classification accuracy than local Gabor binary pattern histogram sequence (LGBPHS) method. In a nutshell, the proposed MALDTP method can not only avoid choosing the threshold by experience but also contain much more structural and contrast information of facial image than LDTP.


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Cite this article

[IEEE Style]
Zhengyan Zhang, Jingjie Yan, Guanming Lu, Haibo Li, Ning Sun and Qi Ge, "Multiscale Adaptive Local Directional Texture Pattern for Facial Expression Recognition," KSII Transactions on Internet and Information Systems, vol. 11, no. 9, pp. 4549-4566, 2017. DOI: 10.3837/tiis.2017.09.020

[ACM Style]
Zhang, Z., Yan, J., Lu, G., Li, H., Sun, N., and Ge, Q. 2017. Multiscale Adaptive Local Directional Texture Pattern for Facial Expression Recognition. KSII Transactions on Internet and Information Systems, 11, 9, (2017), 4549-4566. DOI: 10.3837/tiis.2017.09.020