Apple’s denial against US government’s request to iPhone unlocking has triggered public interests in personal and information security. Ever since the introduction of Touch ID by Apple, fingerprint technology is being implemented into more and more mobile devices by different manufacturers. It is being adopted as the authentication methods for users as they log into their mobiles phones, and fingerprint technology is being utilized in more ways such as a method of payment like the latest Apple Pay and Samsung Pay solutions.
Electronic access control traditionally utilized RFID cards for credential, and use of biometrics was slowly gaining grounds. However, with the wide public acceptance of biometrics on mobile phones may expedite the adoption process and have biometrics replace RFID cards all together. With continued technological progression led by mobile phones, the cost of biometrics has reduced significantly and is finally available for mass deployment. Additionally, with the reduced cost of hardware allows for faster matching and larger user database for versatile application.
The benefits of using biometrics is highlighted by its use of true identity. It is not easily duplicated, and can’t be easily passed on to others. Also, users don’t have to be reminded to carry credentials with risk of losing them. However, most recent efforts and awareness against fake fingerprints are becoming a real threat against fingerprint becoming the choice of biometrics despite their benefits. The threats are gathering more attention and number of different biometric security solution is looking to resolve such issue through implementation of multi-modal authentication or new live finger detection technology.
The key for adaptation of new technology is focused on convenience. Using multi-modal reduces the convenience factor by increasing the number of authentication steps for the user. Live finger detection eliminates such inconveniences by preventing ‘spoofing’ during the normal authentication process. The replicated fingerprint made from materials like clay, gelatin, silicone and rubber is called ‘fake fingerprint’ and authenticating with these fake fingerprints is called ‘spoofing’.
Suprema’s Live Finger Detection (LFD) technology is based on deep learning of dynamic and static image characteristics of the fake fingers, and how they can be distinguished from those of live fingers. With the advanced analysis algorithm to detect abnormalities in dynamic changing pattern of fingerprints images, and several static features of liveness or unnaturalness of fingers, fake fingers are clearly distinguished from live fingers. It is clear biometrics will continue to grow and be used in high security areas due to their nature. The winner of game of cat and mouse will depend on development of advanced biometrics technology like live finger detection and deployment of such technology to stay ahead of the game against the threats