Skip to main content

Environmental Effects on Face Recognition in Smartphones

Lunerti, Chiara, Guest, Richard, Blanco-Gonzalo, Ramon, Sanchez-Reillo, Raul, Baker, Jon (2017) Environmental Effects on Face Recognition in Smartphones. In: 51st IEEE International Carnahan Conference on Security Technology. . Institute of Electrical and Electronics Engineers (KAR id:62952)

PDF Author's Accepted Manuscript
Language: English
Download (290kB) Preview
[thumbnail of Environment-effects-Lunerti.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Microsoft Word (The Author Accepted Manuscript has been analysed for accessibility and has scored 100% using Blackboard Ally.) Accessible Version
Language: English
Download (218kB)
[thumbnail of The Author Accepted Manuscript has been analysed for accessibility and has scored 100% using Blackboard Ally.]


Face recognition is convenient for user authentication on smartphones as it offers several advantages suitable for mobile environments. There is no need to remember a numeric code or password or carry tokens. Face verification allows the unlocking of the smartphone, pay bills or check emails through looking at the smartphone. However, devices mobility also introduces a lot of factors that may influence the biometric performance mainly regarding interaction and environment. Scenarios can vary significantly as there is no control of the surroundings. Noise can be caused by other people appearing on the background, by different illumination conditions, by different users’ poses and through many other reasons. User-interaction with biometric systems is fundamental: bad experiences may derive to unwillingness to use the technology. But how does the environment influence the quality of facial images? And does it influence the user experience with face recognition? In order to answer these questions, our research investigates the user-biometric system interaction from a non-traditional point of view: we recreate reallife scenarios to test which factors influence the image quality in face recognition and, quantifiably, to what extent. Results indicate the variability in face recognition performance when varying environmental conditions using smartphones.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Biometrics, Face recognition, Mobile devices, User interaction
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Richard Guest
Date Deposited: 25 Aug 2017 14:46 UTC
Last Modified: 14 Jun 2021 13:23 UTC
Resource URI: (The current URI for this page, for reference purposes)
Guest, Richard:
  • Depositors only (login required):


Downloads per month over past year