Abstract
In this paper, we have evaluated a biometric verification system of universal acceptable hand based modalities. We have employed the Dorsal Handvein and finger Knuckle print modalities that are recently emerging modalities in the biometrics field. The Handvein and finger knuckle print databases are subjected to extract the texture features from the texture classification techniques like LBP, LPQ and Gabor filter. We compare both the modalities separately and conclude from the results obtained which modality performs better on texture descriptors. The results are presented graphically using the ROC curve which is plotted for GAR (Genuine Acceptance Rate) v/s FAR (False Acceptance Rate) with the threshold benchmark values of FAR (0.01%, 0.1%, 1%) in illustrating the performance of verification rate. From our experimental results, it is clearly evident that the LPQ texture features are more suitable for both modalities.
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