Title :
Short term face recognition for Automatic Teller Machine (ATM) users
Author :
Derman, E. ; Gecici, Y. Koray ; Salah, Albert Ali
Author_Institution :
Progress R&D Center, Provus Inf. Technol., Istanbul, Turkey
Abstract :
Automatic Teller Machines (ATMs) are widely used in our daily lives due to their convenience, wide-spread availability and time-independent operation. Automatic retraction of forgotten card or cash by ATMs is a problem with serious consequences (lost time and money), typically caused by user inattention/negligence. In this work, we propose a scheme in which the retraction rate of an ATM is decreased using face detection and recognition methods via ATM´s built-in camera. The short time frame of ATM usage and severe motion artifacts make this problem very different from an ordinary face authentication or face recognition problem. We evaluate the proposed system under challenging conditions of real ATM usage. The experimental results on multiple databases reveal that our proposed system is promising for mitigating card/cash forgetting issue and improving ATM user experience.
Keywords :
automatic teller machines; face recognition; image motion analysis; image sensors; object detection; ATM user experience; automatic cash retraction; automatic forgotten card retraction; automatic teller machine users; built-in camera; face detection; motion artifacts; multiple databases; short term face recognition; time-independent operation; wide-spread availability; Cameras; Databases; Face; Face detection; Face recognition; Histograms; Online banking; ATM camera; Automated teller machine; Chi-square distance; face detection/recognition; local binary pattern;
Conference_Titel :
Electronics, Computer and Computation (ICECCO), 2013 International Conference on
Conference_Location :
Ankara
DOI :
10.1109/ICECCO.2013.6718241