A New Approach to Image Enhancement Based on Modified Histogram Equalization

Yelmanov, Sergei; Romanyshyn, Yuriy

doi:10.1109/stc-csit.2019.8929838

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…Researchers have frequently used this filter to develop the image and texture of an object or model. In the next stage, to obtain the highest possible contrast value, each image was subjected to the graph [19]. All obtained images are first optimized with a fixed threshold value.…”

Section: Thumb Image Preprocessingmentioning

confidence: 99%

A new approach to develop biometric fingerprint using human right thumb fingernail

Al-Sultan

Alhialy

Alkhaled

et al. 2023

IJEECS

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In this article, we analyzed the structure of human nails to develop a modern biometric authentication system based on the nail bed and finger lunula. The results of the studies on the collected images proved that each fingernail has distinctive characteristics in terms of the length and width of the nail and the lunula, even identical twins. We focused on the fingernail of the right thumb because of its large size and the accuracy and clarity of the nail. The mediation of the indicative points on the nail bed and on the lunula was used to form the pentagonal structure and use it as a region of interest. Then an ensemble independent component analysis, principal component analysis, haar wavelet, and scale invariant feature transformation, were used. Later we classified these algorithms using support vector machine and Naive Bayes techniques, the performance of each algorithm was analyzed by feature extraction with two classifiers. This study was conducted on 100 participants and showed that this new method could be used as a biometric identification system for humans. There was no similarity in results for all verified samples.

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Section: Thumb Image Preprocessingmentioning

confidence: 99%

A new approach to develop biometric fingerprint using human right thumb fingernail

Al-Sultan

Alhialy

Alkhaled

et al. 2023

IJEECS

View full text Add to dashboard Cite

show abstract

Intelligent Microseismic Events Recognition in Fiber-Optic Microseismic Monitoring System Compared With Electronic One

et al. 2022

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Fiber-optic seismic sensor has become an emerging effective tool for microseismic monitoring, which is of importance for oil and gas production improvement. When processing the fiber-optic data, the recognition of microseismic events is the first crucial step, which is rarely reported due to the lack of such data. In this paper, based on the features of central data distribution, skewness, kurtosis, energy entropy, etc., the classification accuracy of microseismic (MS) events obtained by fiber-optic MS monitoring system and electronic one is compared using machine learning algorithm (e. g. SVM and KNN) for the first time. The results show that fiber-optic data has higher classification accuracy than electronic data when using the feature of central data distribution owing to the high signal-to-noise ratio of fiberoptic data. However, when choosing the features of energy entropy, zero-crossing rate and the energy proportion of specific frequency band, electronic data has higher classification accuracy than fiberoptic data benefiting from the longer events duration and the lower frequency components of electronic data. When using skewness and kurtosis, the classification performance in fiberoptic data is almost consistent with the electronic one. Moreover, the results indicate that the characteristics of MS signal itself have a greater impact on the discrimination ability of MS events than the applied machine learning classification algorithm.

show abstract

A New Approach to Image Enhancement Based on Modified Histogram Equalization

Cited by 2 publications

References 9 publications

A new approach to develop biometric fingerprint using human right thumb fingernail

A new approach to develop biometric fingerprint using human right thumb fingernail

Intelligent Microseismic Events Recognition in Fiber-Optic Microseismic Monitoring System Compared With Electronic One

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