This technology makes it possible to construct biometric authentication systems that do not require ID cards and that can be tailor-made to fit different sized groups, from small-scale room access control to large-scale social platform systems. Moreover, the technology can be easily deployed by simply adding palm vein authentication to the fingerprint authentication systems that are already in widespread use.
Biometric authentication technology is becoming increasingly ubiquitous as a means to prevent corporate data breaches and identity fraud at financial institutions. This includes palm vein authentication based on a technology pioneered by Fujitsu Laboratories, now widely employed around the world for its highly precise authentication in applications ranging from ID confirmation for ATM users at financial institutions, to corporate PC access management and room access control systems. In addition, rapid fingerprint authentication processing is becoming popular as an easy and reliable personal log-in authentication method built into PCs and mobile phones.
The convenience offered by simply using one's body for authentication - biometrics eliminates the need to carry IC cards - is expected to accelerate the spread of biometrics even further. As the key to realize greater acceptance, the focus has turned to technologies that can recognize with superior speed and precision a given individual out of a million or hundred million people in applications for large corporations and governments.
One solution proposed for addressing this problem is to build a robust authentication system that combines multiple biometric authentication methods. Separately capturing the biometric data needed for each method, however, diminishes the convenience of this approach. For example, if palm vein authentication were combined with iris pattern authentication, both the palm and iris would each need to be separately scanned, compromising simplicity. This necessitated a technology that could easily combine more than one type of biometric data.