PALM VEIN TECHNOLOGY

PALM VEIN TECHNOLOGY

ABSTRACT:

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                                      With the increase in technology threat to personal data and national security hadalso increased. The methods that were developed to secure important information from outsideintervention were not up to safe mark .There was a need to introduce a technology that securesour data more efficiently from unlawful intervention .Fujitsu has developed a palm vein pattern authentication technology that usesvascular patterns as personal identification data .Vein recognition technology is secure becausethe authentication data exists inside the body and is therefore very difficult to forge. It is highlyaccurate. This technology can be used in various fields like banking, hospitals, governmentoffices, in passport issuing etc. Business growth will be achieved with these solutions byreducing the size of the palm vein sensor and shortening the authentication time.Hand vein is a biometric modality that seems promising as it is acquired in Near Infrared light (NIR), which implies that skin variations and dirtiness are less sensible than invisible light. Moreover, the haemoglobin which flows in the veins is sensible to NIR light, thisway allowing a good quality of acquisition of the hand veins. It is possible to use either the back of the hand or the hand palm. A recent study using back hand vein data and tested with 5sessions per person and 50 persons showed promising results. The main problem of this databaseis the low resolution of the images (images at resolution 132x124 pixels).The first commercialized products have been produced by Hitachi on the back andFujitsu on the palm. They have been patented but only little information is available on them.These companies claim a very low FRR ( False Rejection Rate) at very low FAR (FalseAcceptance Rate) on a huge database ± close to 0% on 140000 hands. Unfortunately at thismoment, there is no public database allowing verifying these figures.In general, in the various papers present in the literature, after the acquisitionphase, some matching algorithms are used such as the Line segment Hausdorff Distance (LHD)method. The LHD method has good experiment results. But, the structure information of palmvein is not as clear as hand vein, so line-based feature is not a good choice for palm veinrecognition. Matching based on minutiae analysis and Hausdorff distance (MHD) was used for hand vein recognition. Minutiae-like feature could also be extracted from palm vein pattern;

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