The Ateb-Gabor Filter for Fingerprinting

Nazarkevych, Mariya; Logoyda, Mykola; Troyan, Oksana; Vozniy, Yaroslav; Shpak, Zoreslava

doi:10.1007/978-3-030-33695-0_18

Cited by 9 publications

(2 citation statements)

References 15 publications

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“…To implement this, the image will be enhanced by applying filtering to reduce its noise. The existing Gabor filter based on Ateb-functions is effective for filtering [23].…”

Section: Fingerprint Filteringmentioning

confidence: 99%

Applying Ateb–Gabor Filters to Biometric Imaging Problems

2021

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This article presents a new method of image filtering based on a new kind of image processing transformation, particularly the wavelet-Ateb–Gabor transformation, that is a wider basis for Gabor functions. Ateb functions are symmetric functions. The developed type of filtering makes it possible to perform image transformation and to obtain better biometric image recognition results than traditional filters allow. These results are possible due to the construction of various forms and sizes of the curves of the developed functions. Further, the wavelet transformation of Gabor filtering is investigated, and the time spent by the system on the operation is substantiated. The filtration is based on the images taken from NIST Special Database 302, that is publicly available. The reliability of the proposed method of wavelet-Ateb–Gabor filtering is proved by calculating and comparing the values of peak signal-to-noise ratio (PSNR) and mean square error (MSE) between two biometric images, one of which is filtered by the developed filtration method, and the other by the Gabor filter. The time characteristics of this filtering process are studied as well.

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“…To implement this, the image will be enhanced by applying filtering to reduce its noise. The existing Gabor filter based on Ateb-functions is effective for filtering [23].…”

Section: Fingerprint Filteringmentioning

confidence: 99%

Applying Ateb–Gabor Filters to Biometric Imaging Problems

2021

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“…In particular, the development of Cyber-Physical Systems perception of the external world by people with disabilities in the visual spectrum is relevant today [18,23,28]. This applies to both congenital (e.g., congenital blindness) and acquired conditions (for example, with age or as a result of an accident).…”

Section: Literature Reviewmentioning

confidence: 99%

Real-Time Sensing, Reasoning and Adaptation for Computer Vision Systems

Hrytsyk

Nazarkevych

2021

Lecture Notes in Computational Intelligence and Decision Making

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Automatically recognition and classification of biological objects under microscope methods are shown in paper. Problem of separated of white-black and color images is studied. Method of separation of different type of objects (visual diapason of specter) with compare results is shown in the paper. Quality of segmentation methods analyses is presented in the paper. Schemes and table results of segmentation are exist. Methods of pattern recognition applicability for Computer Vision Systems of analysis and pattern recognition scenes in the visual spectrum are studied in the paper. The methods and algorithms can be used in Realtime Sensing, white-black and color patterns, reasoning and adaptation for Computer Vision Systems too. Example of such systems is the glasses for people with visual impairments; when the camera mounted in glasses receives and transmits environment data, and the contact plate with electrical leads via e-pulse transmits data to the eye retina. Author analyzed several pattern recognition methods that will allow to process data of the environment for the brain. This will make the visually impaired persons with sub reality vision better orientation in environment. Theoretical basic, algorithms and their compared for apply is presented in paper.

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