Volume 6 Number 1 (Jan. 2016)
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IJBBB 2016 Vol.6(1): 1-8 ISSN: 2010-3638
doi: 10.17706/ijbbb.2016.6.1.1-8

Evaluation of Facial Paralysis Based on Spatial Features of Filtered Images

Truc Hung Ngo, Masataka Seo, Naoki Matsushiro, Yen-Wei Chen
Abstract—Facial paralysis is a common clinical condition occurring in 30 to 40 patients per 100,000 people per year in Japan. A quantitative tool to support medical diagnostics is necessary. This paper presents a technique that we combined Gabor filters and wavelet decomposition to develop this tool. In our work, the Gabor filters and the wavelet decomposition are used as preprocessing steps to extract the feature. These features are used as the inputs of a multi-class support vector machines for quantitative evaluation of facial paralysis. Our method overcomes the drawbacks of the other techniques such as noisy removal and against variation of illumination. Experimental results show that our proposed method outperforms other conventional techniques testing on a dynamic facial expression image database.

Index Terms—Gabor filters, wavelet decomposition, quantitative analysis of facial paralysis.

Graduate School of Information Science and Engineering, Ritsumeikan University. Shiga, Japan.
Osaka Police Hospital. Osaka, Japan.

Cite: Truc Hung Ngo, Masataka Seo, Naoki Matsushiro, Yen-Wei Chen, "Evaluation of Facial Paralysis Based on Spatial Features of Filtered Images," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 6, no. 1, pp. 1-8, 2016.

General Information

ISSN: 2010-3638
Frequency: Bimonthly (2011-2015); Quarterly (Since 2016)
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal 
Abstracting/ Indexing: Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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