Dong Wang

Work place: Guangdong Business and Technology University, Guangdong, China



Research Interests: Autonomic Computing, Data Mining, Data Compression, Program Analysis and Transformation


Dong Wang is Senior Lecturer of computing school of Guangdong Business and Technology University. Graduated from University of Derby (UK) with MSc degree in Computer Networks in 2006. Graduated from National Technical University of Ukraine (KPI) with BSc degree in Computer systems and networks in 2003. Senior Engineer of Guangdong CNsoft research and development center (2019). Major interests: AI, cloud computing, 5G communications, information security, data mining and analysis.

Author Articles
Procedure for Processing Biometric Parameters Based on Wavelet Transformations

By Zhengbing Hu Ihor Tereikovskyi Denys Chernyshev Liudmyla Tereikovska Oleh Tereikovskyi Dong Wang

DOI:, Pub. Date: 8 Apr. 2021

The problem of the article is related to the improvement of means of covert monitoring of the face and emotions of operators of information and control systems on the basis of biometric parameters that correlate with two-dimensional monochrome and color images. The difficulty in developing such tools has been shown to be largely due to the cleaning of images associated with biometric parameters from typical non-stationary interference caused by uneven lighting and foreign objects that interfere with video recording. The possibility of overcoming these difficulties by using wavelet transform technology, which is used to filter images by combining several identical, but differently noisy monochrome and color images, is substantiated. It is determined that the development of technology for the use of wavelet transforms is primarily associated with the choice of the type of basic wavelet, the parameters of which must be adapted to the conditions of use in a particular system of covert monitoring of personality and emotions. An approach to choosing the type of basic wavelet that is most effective in filtering images from non-stationary interference is proposed. The approach is based on a number of the proposed provisions and efficiency criteria that allow to ensure when choosing the type of basic wavelet taking into account the significant requirements of the task. A filtering procedure has been developed, which, due to the application of the specified video image filtering technology and the proposed approach to the choice of the basic wavelet type, allows to effectively clean the images associated with biometric parameters from typical non-stationary interference. The conducted experimental studies have shown the feasibility of using the developed procedure for filtering images of the face and iris of operators of information and control systems.

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