Fujitsu boasts new palm vein authentication technology

August 6, 2013 - 

Fujitsu says it’s developed the world’s first technology for extracting and matching 2,048-bit feature codes from biometric palm vein images.

The new method employs feature codes extracted from vein images that represent the features of the images in binary format. This, in turn, allows for simple comparison calculations and quick authentication, says the company.

“As multiple feature codes can be generated from a single piece of biometric data, different codes can be used for different authentication services. As a result, even in the case of leaked registered data, a new feature code can be generated and registered to give users peace of mind and uninterrupted service,” the company said announcing the new technology.

Earlier this year, Fujitsu launched what it says is the world’s smallest contactless vein authentication sensor.

The Biometrics Research Group projects that the global biometrics market will grow to $15 billion by 2015, from its 2012 estimated value of $7 billion. Specifically, says the research group, the market for automated fingerprint identification systems and fingerprint biometric technologies account for the greatest share of the global biometrics market and is forecast to continue to be the main source of overall market revenues from 2010 to 2015. This sector is valued at $5 billion in 2012 and is expected to reach nearly $10 billion in 2015.

Face, iris, vein, and voice recognition biometric technologies together form the second largest segment. This sector is worth an estimated $2 billion in 2010 and is expected to reach $5 billion in 2015.

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About Adam Vrankulj

Adam Vrankulj is an editor for BiometricUpdate.com. His background consists of online news writing, editing and content marketing. Adam has written for CBCNews.ca, BlogTO and was the editor and curator for the nextMEDIA and CIX Source publications. He has a degree in journalism and is passionate about science, technology and social innovation. Contact Adam, or follow him at @adamvrankulj