Ear biometrics studies using electroacoustic transducers in headsets
Vijgen, Axel
Promoteur(s) : Embrechts, Jean-Jacques
Date de soutenance : 26-jui-2017/27-jui-2017 • URL permanente : http://hdl.handle.net/2268.2/2647
Détails
Titre : | Ear biometrics studies using electroacoustic transducers in headsets |
Titre traduit : | [fr] Etude biométrique sur les oreilles utilisant des transducteurs électroacoustiques dans des casques |
Auteur : | Vijgen, Axel |
Date de soutenance : | 26-jui-2017/27-jui-2017 |
Promoteur(s) : | Embrechts, Jean-Jacques |
Membre(s) du jury : | Van Droogenbroeck, Marc
Geurts, Pierre Macours, Christophe |
Langue : | Anglais |
Nombre de pages : | 94 |
Mots-clés : | [en] Ear [en] biometrics [en] headphones [en] earphones [en] microphone [en] acoustical waves [en] authentication |
Discipline(s) : | Ingénierie, informatique & technologie > Ingénierie électrique & électronique |
Organisme(s) subsidiant(s) : | NXP, Université de Liège |
Public cible : | Chercheurs Professionnels du domaine Grand public Autre |
Institution(s) : | Université de Liège, Liège, Belgique |
Diplôme : | Master en ingénieur civil électricien, à finalité spécialisée en "electrical engineering" |
Faculté : | Mémoires de la Faculté des Sciences appliquées |
Résumé
[en] This master’s thesis studies the potential of ear biometrics using acoustical waves. The goal is to know whether it is possible and accurate to authenticate someone with a system using headphones and microphones on ears. The idea is to send a signal with the headphones in the ears of the subject and get the reflections with microphones. These reflections depend on the shape of the ear and therefore could be used to authenticate someone.
For this research, different handcrafted prototypes have been manufactured. By placing microphones in different headphones. Some physical expectations of the measurable data have been studied allowing to see the differences that could occur between people. Then some databases with different users have been established, a pre-processing scheme of the data has been discussed and two recognition algorithms have been implemented and tested on these databases. The different parameters for these algorithms have been studied in order to determine the best way to recognize people correctly and get optimal parameters. The results were quite satisfying and in accordance with previous studies. The efficiency depends on the headset but the best obtained EER value was equal to 98.99 %. As an additional work, the detection of the correct positioning of the headset has also been briefly studied. This detection was really good for some people while for others it was not. Finally, further work and ideas for future studies are proposed and presented.
Fichier(s)
Document(s)
Description: Master's thesis about ear biometrics using acoustics
Taille: 3.52 MB
Format: Adobe PDF
Description: Abstract and illustrations
Taille: 361.8 kB
Format: Adobe PDF
Annexe(s)
Description: Matlab codes folder
Taille: 23.43 MB
Format: Unknown
Description: 1st database, folder to be put in the same folder than the codes
Taille: 46.75 MB
Format: Unknown
Description: 2nd database, to be put with the codes
Taille: 68.01 MB
Format: Unknown
Description: 3, 4 and 5th database, folder to be put in the same folder than the codes
Taille: 41.26 MB
Format: Unknown
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