New Mobile Phone and Webcam Hand Images Databases for Personal Authentication and Identification

Hassanat, Ahmad B. A.; Al-Awadi, Mouhammd Mahmoud; Btoush, Eman; Btoush, Amani Al; Alhasanat, Esra'a A. A.; Altarawneh, Ghada A.

doi:10.1016/j.promfg.2015.07.977

Cited by 30 publications

(14 citation statements)

References 6 publications

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“…In addition to a slew of other studies attempting to build and discover new machine learning approaches, including (Qiu and Yu 2016;Narloch et al 2019;Khashei and Hajirahimi 2018;Samer et al 2018;Abadleh et al 2021;Chi 2018). Artificial intelligence and Machine learning in particular are not just for prediction and forecasting; they are also employed in a variety of other areas such as Natural Language Processing (Alghamdi and Teahan 2017;Hassanat and Altarawneh 2014;Hassanat and Jassim 2010;Al-Shamaileh et al 2019;Hassanat et al 2015bHassanat et al , 2015cTarawneh et al 2020a;Hassanat and Tarawneh 2016), Software engineering (Salman et al 2018;Eyal Salman 2017;Eyal Salman et al 2015), Internet of things (Mnasri et al 2014(Mnasri et al , 2015(Mnasri et al , 2017a(Mnasri et al , 2017b(Mnasri et al , 2018a(Mnasri et al , 2018b(Mnasri et al , 2019(Mnasri et al , 2020Abdallah et al 2020aAbdallah et al , 2020bTlili et al 2021), Computer vision (AlTarawneh et al 2017Alqatawneh et al 2019;Tarawneh et al 2018Tarawneh et al , 2019aTarawneh et al , 2019bTarawneh et al , 2020bAl-Btoush et al 2019;Hassanat et al 2015aHassanat et al , 2017aHassanat et al , 2017b…”

Section: Related Literaturementioning

confidence: 99%

Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods

et al. 2022

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One of the most difficult problems analysts and decision-makers may face is how to improve the forecasting and predicting of financial time series. However, several efforts were made to develop more accurate and reliable forecasting methods. The main purpose of this study is to use technical analysis methods to forecast Jordanian insurance companies and accordingly examine their performance during the COVID-19 pandemic. Several experiments were conducted on the daily stock prices of ten insurance companies, collected by the Amman Stock Exchange, to evaluate the selected technical analysis methods. The experimental results show that the non-parametric Exponential Decay Weighted Average (EDWA) has higher forecasting capabilities than some of the more popular forecasting strategies, such as Simple Moving Average, Weighted Moving Average, and Exponential Smoothing. As a result, we show that using EDWA to forecast the share price of insurance companies in Jordan is good practice. From a technical analysis perspective, our research also shows that the pandemic had different effects on different Jordanian insurance companies.

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Section: Related Literaturementioning

confidence: 99%

Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods

et al. 2022

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“…In a similar fashion, Tarawneh et al [131] used several networks pretrained on ImageNet (AlexNet, VGG16 [79] and VGG19). The extracted deep features from the images in two hand datasets (COEP [17] and MOHI [132]) were then matched using a multi-class SVM. Ramachandra et al [133] used transfer-learning (AlexNet) to match palmprints acquired from infants.…”

Section: ) Using Pre-trained Dnnsmentioning

confidence: 99%

Toward Unconstrained Palmprint Recognition on Consumer Devices: A Literature Review

2020

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“…The dataset collected by Aykut et al in [28] is referred to as KTU dataset [66], which comprises 1,752 images collected from 145 different palms in a single session. Concurrently, Hassanat et al in [67] collected the MOHI dataset and WEHI dataset [68] using mobile phone cameras and webcams, respectively. More recently, Joshi et al collected 1,344 high-resolution palmprint images from 168 subjects to compose the COEP palmprint database [69].…”

Section: Contactless Palmprint Datasets Publicly Availablementioning

confidence: 99%

Towards Palmprint Verification On Smartphones

Zhang

Zhang²,

Li³

et al. 2020

Preprint

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With the rapid development of mobile devices, smartphones have gradually become an indispensable part of people's lives. Meanwhile, biometric authentication has been corroborated to be an effective method for establishing a person's identity with high confidence. Hence, recently, biometric technologies for smartphones have also become increasingly sophisticated and popular. But it is noteworthy that the application potential of palmprints for smartphones is seriously underestimated. Studies in the past two decades have shown that palmprints have outstanding merits in uniqueness and permanence, and have high user acceptance. However, currently, studies specializing in palmprint verification for smartphones are still quite sporadic, especially when compared to face-or fingerprint-oriented ones. In this paper, aiming to fill the aforementioned research gap, we conducted a thorough study of palmprint verification on smartphones and our contributions are twofold. First, to facilitate the study of palmprint verification on smartphones, we established an annotated palmprint dataset named MPD, which was collected by multi-brand smartphones in two separate sessions with various backgrounds and illumination conditions. As the largest dataset in this field, MPD contains 16,000 palm images collected from 200 subjects. Second, we built a DCNN-based palmprint verification system named DeepMPV+ for smartphones. In DeepMPV+, two key steps, ROI extraction and ROI matching, are both formulated as learning problems and then solved naturally by modern DCNN models. The efficiency and efficacy of DeepMPV+ have been corroborated by extensive experiments. To make our results fully reproducible, the labeled dataset and the relevant source codes have been made publicly available at https://cslinzhang.github.io/MobilePalmPrint/.

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New Mobile Phone and Webcam Hand Images Databases for Personal Authentication and Identification

Cited by 30 publications

References 6 publications

Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods

Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods

Toward Unconstrained Palmprint Recognition on Consumer Devices: A Literature Review

Towards Palmprint Verification On Smartphones

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