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.
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