Abstract
In this paper, the acquisition and content of a new homologous multimodal biometric database are presented. The SDUMLA-HMT database consists of face images from 7 view angles, finger vein images of 6 fingers, gait videos from 6 view angles, iris images from an iris sensor, and fingerprint images acquired with 5 different sensors. The database includes real multimodal data from 106 individuals. In addition to database description, we also present possible use of the database. The database is available to research community through http://mla.sdu.edu.cn/sdumla-hmt.html .
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Yin, Y., Liu, L., Sun, X. (2011). SDUMLA-HMT: A Multimodal Biometric Database. In: Sun, Z., Lai, J., Chen, X., Tan, T. (eds) Biometric Recognition. CCBR 2011. Lecture Notes in Computer Science, vol 7098. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25449-9_33
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DOI: https://doi.org/10.1007/978-3-642-25449-9_33
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