An images filtration using the Ateb-Gabor method

Nazarkevych, Mariya; Oliarnyk, Roman; Dmytruk, Sergiy

doi:10.1109/stc-csit.2017.8098770

Cited by 12 publications

(2 citation statements)

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“…The real part "even symmetric" Gabor filter is mostly used for detecting the ridge in the image [1,4]. The Gabor filter uses you to analyze the tissue, meaning that it analyzes mainly just the presence of certain frequency content of the image, especially the presence of trends in the point area or area of analysis [13].…”

Section: Gabor Filtermentioning

confidence: 99%

Vein palm recognition model using fusion of features

Hadi

2020

TELKOMNIKA

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One of the most promising mechanisms in the field of security and information safety is authentication based on palm vein. The main reasons that vein palm becomes an authentication method is because of its distinctive privacy, as it is difficult to manipulate or change its results, because of the location of the vein within the palm. With the use of this technology, it has become easy to maintain data from unauthorized access and unwanted persons. In this work proposed model are suggested that contain four stages to reach the results: in the first stage is the pre-processing stage where histogram equation was used to enhance the image and the properties are shown, the second stage is the extracting the properties where, Gabor filter and 2-discrete wavelet filters are suggested for features extraction, where it is considered one of the most important filters used to extract the features, as well as in the third stage "PCA" are used for data or features reduction, because of its advantages in analyzing the features and reducing the spacing between them. As for the last stage, the Euclidean distance used to measure the spacing. The results were acceptable and convincing, since the similarity ratio 96.2%. These results were obtained after several tests and using the Gabor filter with 2D-discrete wavelet transform and principal component analysis (PCA), I got the best results.

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Section: Gabor Filtermentioning

confidence: 99%

Vein palm recognition model using fusion of features

Hadi

2020

TELKOMNIKA

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“…Such application will greatly increase the filtering results. This will yield significantly more filtering results, as there are two new m, n parameters that can be changed [8].…”

Section: Ateb-gabor Filtrationmentioning

confidence: 99%

Research of Ateb-Gabor Filter in Biometric Protection Systems

Nazarkevych

Buriachok

Lotoshynska³

et al. 2018

2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)

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Biometric recognition systems require the development of new technologies and need improvement. A new filter of Ateb-Gabor has been investigated. The filter is based on the use of a combination of Gabor filter and periodic Atebfunctions. This combination allows us to provide flexibility for control by choosing two parameters m and n, which is provided by the mathematical apparatus of the Ateb functions. Filtration was performed on the example of biometric images. It has been shown that Ateb-Gabor filtration gives better filtration results than ordinary Gabor filter. Experimental research has been carried out.

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