A Configurable Multibiometric System for Authentication at Different Security Levels Using Mobile Devices

Rios-Sanchez, Belen; Viana-Matesanz, Miguel; Ávila, Carmen Sánchez; Giles, Maria Jose Melcon de

doi:10.1109/srdsw.2016.14

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…In particular, some variability with regard to environmental conditions and hand pose is introduced. To this end, the images have been previously segmented and the ROI has been extracted and aligned similarly to [32], [10] Although gb2s ID database contains images of both hands, in order to make equitable comparisons with the monomodal evaluation under controlled conditions only one hand is included in these experiments, the left hand. In the same way, a higher number of images per hand and user are provided by gb2s ID database, but only 10 were randomly selected for the evaluation.…”

Section: Semi-controlled Scenario Resultsmentioning

confidence: 99%

A comparative study of palmprint feature extraction methods for contact-less biometrics under different environmental conditions

Rios-Sanchez

Viana-Matesanz

Ávila

2017

2017 International Carnahan Conference on Security Technology (ICCST)

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Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful characteristics as uniqueness, permanence, reliability, user-friendliness, acceptability, non-intrusiveness, and low cost of the acquisition devices, which make it attractive for civil and commercial applications. Accordingly, a wide research has been developed in this field. Nevertheless, there is a lack of evaluation of the results under a common framework which permits to obtain a fair comparison between different methods. In this work an evaluation methodology based on the definitions suggested by the ISO/IDE 19795 norm is provided and applied to evaluate different palmprint feature extraction methods and matching approaches in terms of accuracy and computation time, offering a basis against which to compare future research. Given the growing trend towards touch-less biometrics promoted by the increase in the use of mobile devices, the evaluation has been carried out using two different contact-less hand databases. First database was recorded under totally controlled environmental conditions and providing the user some feedback about the recorded images during the acquisition process, while second database introduces lighting variations as well as no-pose restrictions during the capture.

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Section: Semi-controlled Scenario Resultsmentioning

confidence: 99%

A comparative study of palmprint feature extraction methods for contact-less biometrics under different environmental conditions

Rios-Sanchez

Viana-Matesanz

Ávila

2017

2017 International Carnahan Conference on Security Technology (ICCST)

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“…First of all, the hand is separated from the background as described in [12]. Then, fingertips and valleys between fingers are detected together with the central part of the palm, which concentrates the most relevant palm-print information.…”

Section: A Preprocessingmentioning

confidence: 99%

Curvelets for contact-less hand biometrics under varied environmental conditions

Rios-Sanchez

Viana-Matesanz

Ávila

2017

2017 International Carnahan Conference on Security Technology (ICCST)

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In this work, the Curvelet transform is proposed as a fairly new feature extraction method for palmprint recognition. Particularly, a multiscale analysis has been performed at four levels, assessing and combining the features extracted at each level in order to find those which better represent the palmprint. Feature matching has been conducted by means of Euclidean distance and Support Vector Machines (SVMs), and comparative results are provided. In addition, a multimodal approach involving the extracted palmprint features and hand geometry features has also been evaluated, obtaining an improvement of the results in relation to monomodal biometrics. Evaluations have been carried out following an evaluation protocol based on the definitions suggested by the ISO/IDE 19795 norm that allows for a fair comparison between the different methods. To this end, images coming from two different contact-less databases, which cover different capturing conditions, have been employed.

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A Configurable Multibiometric System for Authentication at Different Security Levels Using Mobile Devices

Cited by 2 publications

References 13 publications

A comparative study of palmprint feature extraction methods for contact-less biometrics under different environmental conditions

A comparative study of palmprint feature extraction methods for contact-less biometrics under different environmental conditions

Curvelets for contact-less hand biometrics under varied environmental conditions

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