| Abstract [eng] |
Automobile security is always relevant. Existing security systems could be easily bypassed and are not a big barrier for thieves. So there is a necessity for a innovative authentication system. Biometrics consist of methods for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits. In computer science, in particular, biometrics is used as a form of identity access management and access control. It could be also used for automobile security. Finger vein comparison is a relatively new form of biometrics, which could also be used for authentication. Images of finger veins could be obtained illuminating fingers with near-infrared light. Those images are very unique and different for every person and every finger. In this research biometric authentication model for automobiles is developed and researched. Three image recognition algorythms were tested in the experiment, determining which one is less sensitive to resolution changes and noise. The results were given, proposing use of one algorythm, in our model of biometric authentication system for automobiles. |
