Impact of Changing Parameters when Preprocessing Dorsal Hand Vein Pattern

Dorsal hand vein biometric has been the driving force for many researchers lately. The latters have adopted several approaches for preprocessing the vein pattern, extracting its features and matching. Preprocessing steps play an important role in a biometric security system since it allows obtaining the features required for later stages.In line with this, the preprocessing steps of the dorsal hand vein pattern are being scrutinized in a view of procuringideal vein features. Recently more attention is being given to processing and matching stages of a biometric security system. It is therefore mandatory to investigate on the preprocessing factors that affect the performance of a biometric system. Thus, in this work, different preprocessing techniques are being investigated.A database of 500 images is considered for which same number of images and instances are used. Through experimentation, it is found that different techniques give different results which have an impact on the later stages. The result proves that a well-defined extracted vein pattern gives better performance and leads to a more secure biometric authentication system