17 DAILY WACV Sunday ColFigPhotoAttnNet The focus is in securing mobile, specifically smartphone. The lab works on secure smartphone unlock and after the pandemic they care about hygiene and contactless fingerprint. There were in the past attacks to the sensors of fingerprint embedded in these devices; so the finger photo technology became really a very good alternative to the traditional sensing of fingerprint. They use just RGB common cameras embedded in smartphones and then they capture the finger photo image. There are very good algorithms for a very accurate matching. Talking of security, some technologies are vulnerable to spoof attacks, specifically display attacks where you can display the picture of the finger of someone. And then you can actually deceive the authentication system, endangering all the informationsensitive data that we have in our phone, like online banking info and so on. Of course, we want our wallet and the unlocking mechanism to be very trustworthy. The team knew from previous research that these algorithms are not robust to capture bias, mainly due to the evolving nature of the hardware (especially camera characteristics and capture conditions influenced by the environmental conditions) and because they are training-based (or data driven). What can we do to enhance trust? “We want to solve and minimize the capture bias specifically,” Emanuela explains. “There are differences in how things appear from the camera. This was definitely the biggest challenge that we had. The capture challenge, the camera used to acquire the finger on the other side, even the
RkJQdWJsaXNoZXIy NTc3NzU=