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

Procedure for Processing Biometric Parameters Based on Wavelet Transformations

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Author(s)

Zhengbing Hu ^1,* Ihor Tereikovskyi ¹ Denys Chernyshev ² Liudmyla Tereikovska ² Oleh Tereikovskyi ¹ Dong Wang ³

1. National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine

2. Kyiv National University of Construction and Architecture, Kyiv, Ukraine

3. Guangdong Business and Technology University, Guangdong, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2021.02.02

Received: 6 Jan. 2021 / Revised: 28 Jan. 2021 / Accepted: 21 Feb. 2021 / Published: 8 Apr. 2021

Index Terms

Wavelet transform, biometric parameter, filtration, information security, face image, iris, operator, monitoring, authentication, emotion recognition.

Abstract

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.

Cite This Paper

Zhengbing Hu, Ihor Tereikovskyi, Denys Chernyshev, Liudmyla Tereikovska, Oleh Tereikovskyi, Dong Wang, "Procedure for Processing Biometric Parameters Based on Wavelet Transformations ", International Journal of Modern Education and Computer Science(IJMECS), Vol.13, No.2, pp. 11-22, 2021. DOI:10.5815/ijmecs.2021.02.02

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