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Masoud PourReza

A Novel Approach For Finger Vein Verification Based on Self-Taught Learning

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Aug 15, 2015
Mohsen Fayyaz, Masoud PourReza, Mohammad Hajizadeh Saffar, Mohammad Sabokrou, Mahmood Fathy
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In this paper, we propose a method for user Finger Vein Authentication (FVA) as a biometric system. Using the discriminative features for classifying theses finger veins is one of the main tips that make difference in related works, Thus we propose to learn a set of representative features, based on autoencoders. We model the user finger vein using a Gaussian distribution. Experimental results show that our algorithm perform like a state-of-the-art on SDUMLA-HMT benchmark.

* 4 pages, 4 figures, Submitted Iranian Conference on Machine Vision and Image Processing 
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