Design and implementation of a contactless multiple hand feature acquisition system

Qiushi Zhao; Wei Bu; Xiangqian Wu; David Zhang

doi:10.1117/12.919100

4 May 2012 Design and implementation of a contactless multiple hand feature acquisition system

Qiushi Zhao, Wei Bu, Xiangqian Wu, David Zhang

Proceedings Volume 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX; 83711Q (2012) https://doi.org/10.1117/12.919100
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

In this work, an integrated contactless multiple hand feature acquisition system is designed. The system can capture palmprint, palm vein, and palm dorsal vein images simultaneously. Moreover, the images are captured in a contactless manner, that is, users need not to touch any part of the device when capturing. Palmprint is imaged under visible illumination while palm vein and palm dorsal vein are imaged under near infrared (NIR) illumination. The capturing is controlled by computer and the whole process is less than 1 second, which is sufficient for online biometric systems. Based on this device, this paper also implements a contactless hand-based multimodal biometric system. Palmprint, palm vein, palm dorsal vein, finger vein, and hand geometry features are extracted from the captured images. After similarity measure, the matching scores are fused using weighted sum fusion rule. Experimental results show that although the verification accuracy of each uni-modality is not as high as that of state-of-the-art, the fusion result is superior to most of the existing hand-based biometric systems. This result indicates that the proposed device is competent in the application of contactless multimodal hand-based biometrics.

Citation Download Citation

Qiushi Zhao, Wei Bu, Xiangqian Wu, and David Zhang "Design and implementation of a contactless multiple hand feature acquisition system", Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83711Q (4 May 2012); https://doi.org/10.1117/12.919100

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