Towards more accurate iris recognition system by using hybrid approach for feature extraction along with classifier

Ullah, Arif; Salam, Abdu; Raoui, Hanane El; Sebai, Dorsaf; Rafie, Mahnaz

doi:10.11591/ijres.v11.i1.pp59-70

Cited by 7 publications

(4 citation statements)

References 33 publications

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“…This approach managed to show a very good accuracy for iris recognition of eyes with no contact lens. In addition, a proposed hybrid approach of fast wavelet transform (FWT) and Gabor filter was used in the study by [33] for iris recognition of eyes with no contact lens. This study showed a promising result on the performance of the iris recognition.…”

Section: Related Workmentioning

confidence: 99%

The discrete wavelet transform based iris recognition for eyes with non-cosmetic contact lens

Ayu

Permana

2023

IJ-AI

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Iris recognition has been used as one of the biometric systems for user authentication, identification, and verification for quite some time. The basis of an iris recognition lies on the matching algorithm, which requires similarities of the iris data in the database with the captured one. In addition, nowadays using non-cosmetic or prescribed contact lenses becomes more popular and more preferred choice of many people, which makes the number of contact lens wearers significantly increases. These eyes with contact lenses add more complexity to the iris recognition process, since it can disturb the matching process which then affect the performance of the system. This situation has motivated this study to propose an iris recognition system that works for eyes with lenses. The proposed iris recognition system for eyes wearing non-cosmetic contact lenses was developed using circular hough transform (CHT) in the preprocessing phase for iris localization and discrete wavelet transform (DWT) for feature extraction. Experiments conducted on the proposed system has shown promising results with good accuracy of 0.95 for eyes with no contact lens and 0.8 for eyes with non-cosmetic lenses. The findings also suggested the importance of the iris localization process to the performance of the recognition system.

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Section: Related Workmentioning

confidence: 99%

The discrete wavelet transform based iris recognition for eyes with non-cosmetic contact lens

Ayu

Permana

2023

IJ-AI

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“…Generally, this method is used as a classifier, based on the principle of making a plot of n dimensions in space, where the value of each entity also presents the value of the specified coordinate. Subsequently, find the ideal hyperplane that made it possible to differentiate the two created classes [21], [22]. Like other machines, the SVM takes input, performs input manipulation, and then provides an output, which can later categorize new examples.…”

Section: Support Vector Machine (Svm)mentioning

confidence: 99%

Heart disease classification using various heuristic algorithms

Ullah

Khan²,

Alam³

et al. 2022

IJAAS

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<span>In the health sector, the computer-aided diagnosis (CAD) system is a rapidly growing technology because medical diagnostic systems make a huge change as compared to the traditional system. Now a day huge availability of medical data and it needs a proper system to extract them into useful knowledge. Heart disease accounts to be the leading cause of death worldwide. Heuristic algorithms have been exposed to be operative in supporting making decisions and classification from the large quantity of data produced by the healthcare sector. Classification is a prevailing heuristic approach which is commonly used for classification purpose some heuristic algorithm predicts accurate result according to the marks whereas some others exhibit limited accuracy. This paper is used to categorize the attendance of heart disease with a compact number of aspects. Original, 13 attributes are involved in classifying heart disease. A reasonable analysis of these techniques was done to conclude how the cooperative techniques can be applied for improving prediction accuracy in heart disease. Four main classifiers used to construct heart disease prediction based on the experimental results demonstrate that support vector machine, artificial bee colony (ABC), Bat algorithm, and memory-based learner (MBL) provide efficient results. The accuracy differs between 13 features and 8 features in the training dataset is 1.9% and in the validation, dataset is 0.92% of vector machine which is the most accurate heuristic algorithm. </span>

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“…According to [21], e-learning means different thing are used for different section based on higher education refers that the use of both software and hardware for online learning process is know as elearning. These all researcher [22], [23], [24], [25], [26], [27] define e-learning that has evolved in different ways affecting business, education, training sector, and the military. Education is the process which change human lives in positive node or through the study change occur in human behavior is knows as education.…”

Section: E-learningmentioning

confidence: 99%

CloudIoT paradigm acceptance for e-learning: analysis and future challenges

Ullah

Aznaoui²,

Şahin³

et al. 2022

Jurnal Informatika

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E-learning is the theme interrelated to the virtualized distance learning with the help of electronic communication machines, certainly with the help of Internet. CloudIoT paradigm is the combination of cloud resource and internet of thing which become prevalent now days due to the flexibility and fast access for those reason different countries used CloudIoT paradigm different purposes. E-learning is one of the best examples where virtual environment provides cost-effective alternative to physical labs as well as to run scientific applications. The world order change in education sector due to Covid-19 all activity shift in to e-learning system. In this paper we present the review about CloudIoT paradigm and it usage in e-learning system as well as we extant taxonomy of CloudIoT paradigm for e-leaning purpose. In the related work section we present the existing contribution in the field of elearning using CloudIoT paradigm are highlighted. We also contemporaneous the most standard framework which carried out for e-leaning using CloudIoT paradigm is discuss. The contribution section of the paper present the issue being faced by in adopting CloudIoT paradigm for e-learning are discussed along with recommendation and future work.

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Towards more accurate iris recognition system by using hybrid approach for feature extraction along with classifier

Cited by 7 publications

References 33 publications

The discrete wavelet transform based iris recognition for eyes with non-cosmetic contact lens

The discrete wavelet transform based iris recognition for eyes with non-cosmetic contact lens

Heart disease classification using various heuristic algorithms

CloudIoT paradigm acceptance for e-learning: analysis and future challenges

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