Abstract—There is practically no wholesome approach in ensuring total security of systems. In this revolutionized and digital world, the increasing need of security to protect individuals and information has led to a rise in developing biometric systems over traditional security systems. Recently, hand vein pattern biometrics has gained increasing interest from both research communities and industries. However, there are many problems like noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and unacceptable error rates that can occur when using unimodal biometric. To overcome the disadvantages of unimodal biometrics of the hand features, a multimodal hand biometric using dorsal hand vein patterns and palmprints, has been deployed. However, another challenge that crops up with multibiometric is the level at which fusion takes place. In this work, fusion was experimented at feature extraction level and at score level. From the experiments conducted, it can be concluded that multimodal biometrics has a better recognition rate compared to unimodal biometrics. Thus, using this multimodal hand biometric deployed, a higher level of security can be achieved.

 

Index Terms—dorsal hand vein, palmprints, multibiometrics

Cite: Maleika Heenaye-Mamode Khan, "A Multibiometric Hand Security System," International Journal of Signal Processing Systems, Vol. 4, No. 6, pp. 504-509, December 2016. doi: 10.18178/ijsps.4.6.504-509