ABSTRACT

Biometric authentication provides a high security and reliable approach to be used in security access system. Personal identification based on hand vein patterns is a newly developed recent year. The pattern of blood veins in the hand is unique to every individual, even among identical twins, and it do not change over time. These properties of uniqueness, stability and strong immunity to forgery of the vein patterns make it a potentially good biometric trait which offers greater security and reliable features for personal identification. In this study, we have used the BOSPHORUS hand vein database which has been taken under a source of NIR infrared radiation. For feature extraction we applied appearance based method ICA which produces independent components. To control over the number of independent component we preprocessed data by PCA before applying ICA, and gives good experimental results.