A comparative study of palmprint feature extraction methods for contact-less biometrics under different environmental conditions
| Autor: | Carmen Sanchez-Avila, Belen Rios-Sanchez, Miguel Viana-Matesanz |
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| Rok vydání: | 2017 |
| Předmět: |
Informática
021110 strategic defence & security studies Matching (statistics) Biometrics Process (engineering) Computer science Feature extraction 0211 other engineering and technologies 02 engineering and technology computer.software_genre Field (computer science) Histogram 0202 electrical engineering electronic engineering information engineering Electrónica 020201 artificial intelligence & image processing Data mining Mobile device computer Reliability (statistics) |
| Zdroj: | ICCST Proceedings of 2017 International Carnahan Conference on Security Technology (ICCST) | 2017 International Carnahan Conference on Security Technology (ICCST) | 23-26 October 2017 | Madrid, Spain |
| DOI: | 10.1109/ccst.2017.8167806 |
| Popis: | Interest on palmprint biometrics has experimented a strong growth in the last decades due to its useful charac- teristics 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. |
| Databáze: | OpenAIRE |
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