engleski

A multimodal hand-based verification system with an aliveness-detection module

This paper presents a multimodal biometric verification system based on the following hand features : palmprint, four digitprints and four fingerprints. The features are obtained using the Karhunen-Loè ; ve transform based approach, and information fusion at the matching-score level was applied. We experimented with different resolutions of the regions of interest, different numbers of features and several normalization and fusion techniques at the matching-score level. To increase the reliability of the system to spoof attacks we included an aliveness-detection module based on thermal images of the hand dorsa. The verification performance when using a system configuration with optimum parameters, i.e., resolution, number of features, normalization and fusion technique, showed an equal error rate (EER) of 0.0020%, which makes the system appropriate for the implementation of high-security biometric systems. Key words : Multimodal biometric, Hand-based verification system, KL transforms, Fusion, Aliveness

multimodal biometric; fusion; hand features; authentication

nije evidentirano