NOISE CLEANING METHOD FOR VISUAL BIOMETRIC INFORMATION
DOI:
https://doi.org/10.24025/2306-4412.4.2021.247856Keywords:
visual signal, time filtering, frequency filtering, threshold processing, wavelet transform, additive Gaussian noise, multiplicative Gaussian noiseAbstract
One of the most important problems that exist in security systems today is to increase the effectiveness of identification of a person. Computer biometric identification speeds up and increases the accuracy of the recognition process, which is especially critical in a limited time. A special class of biometric identification of a person is formed by methods based on the analysis of visual information. The first step in processing the visual biometric information for analysis and subsequent recognition of objects such as a human face is digital image filtering or low-frequency noise elimination due to distortion of various imaging devices and their subsequent transmission through various communication channels. One of the most important problems that exist in security systems today is to increase the effectiveness of identification of a person. Computer biometric identification speeds up and increases the accuracy of the recognition process, which is especially critical in a limited time. A special class of biometric identification of a person is formed by methods based on the analysis of visual information. The first step in processing the visual biometric information for analysis and subsequent recognition of objects such as a human face is digital image filtering or low-frequency noise elimination due to distortion of various imaging devices and their subsequent transmission through various communication channels. The structure of the smoothing filtration model, which is reduced to determining the filter order, is determined. The characteristics and quality criterion of visual signal noise cleaning are offered. Numerous studies have been performed to determine the filter order parameter using the Siblings database, which allows to establish the most effective method based on statistical evaluation of the quality of visual information noise cleaning: in the case of additive Gaussian noise and in the case of multiplicative Gaussian noise, the least standard error, that meets the criterion of quality of visual signal noise cleaning, provides a medium a -truncated filter. The proposed method allows to set and solve the problem of the visual signal pre-processing used for analysis and storage of visual information in intelligent computer systems of biometric identification of the person on the face image.
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Copyright (c) 2021 Федоров Євген Євгенович, Тетяна Юріївна Уткіна
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