Abstract:
Biometrics is a way that identifies people with the help of physical human features.
There are many ways of biometric identification and recognition systems such as
fingerprints, face, iris and veins etc. However, these conventional methods have
some problems with respect of performance and convenience. Every human hand
has unique veins patterns. Hand veins based recognition is most feasible than all of
other conventional methods especially because of its easy acquisition process and
also difficult to forge hand vein pattern. Patterns are taken from inside the body
rather than obtaining from outside the body. Due to no physical contact, internal
features and patterns from live body makes it more secure than other methods. In
this research, we present a new method for person identification based on hand
veins. The proposed system consists of pre-processing, vein enhancement and
segmentation, feature extraction and finally matching. A new filter bank based
method for hand veins enhancement is presented here. The proposed system is
tested and evaluated using Bosphorus hand vein dataset which consists of 1200
hand images from 100 different people with 12 images per person. The proposed
system has achieved 1.3% false acceptance and 1.75% false rejection rate
respectively at a threshold of 0.85. Overall accuracy achieved by proposed system
is 96.97%.
