[3J3-E-4] Robots and real worlds: Human Interactions

[3J3-E-4-04] Identity Verification Using Face Recognition Improved by Managing Check-in Behavior of Event Attendees

〇Akitoshi Okumura¹, Susumu Handa¹, Takamichi Hoshino¹, Naoki Tokunaga¹, Masami Kanda¹ (1. NEC Solution Innovators, Ltd.)

Keywords:Identity Verification, Illegal Ticket Resale Prevention, Face Recognition

Identity-verification systems have been required to prevent illegal resale such as ticket scalping. The problem in verifying ticket holders is how to simultaneously verify identities efficiently and prevent individuals from impersonating others at a large-scale event at which tens of thousands of people participate. We previously developed Ticket ID system for identifying the purchaser and holder of a ticket. The average face-recognition accuracy was 90%, and the average time for identity verification from check-in to admission was 7 seconds per person. The problem with this system is regarding face-recognition accuracy. In this paper, we propose a system for securing facial photos of attendees directly facing a camera by leading them to scan their check-in codes on a code-reader placed close to the camera just before executing face recognition. The system also takes two photos of attendees with this one camera after an interval of about 0.5 seconds to obtain facial photos with their eyes open. The system achieved 93% face-recognition accuracy with an average time of 2.7 seconds per person for identity verification when it was used for verifying 1,547 attendees of a concert of a popular music singer. The system made it possible to complete identity verification with higher accuracy with shorter average time than Ticket ID system.