Biometrics is an automated authentication mechanism that allows the identification or verification of individual based on unique physiological and be- havioural characteristics. The combination of two or more biometric technologies in one application, better known as a multimodal biometric system, can provide enhanced security. Apart from the sound choice of fusion methodologies for the combination of single modality biometrics, the success of such multimodal biome- tric systems significantly relies on the availability of biometric databases, through which the validation of these systems is made possible. This paper presents a new multimodal database, acquired in the framework of the POLYBIO project funded by the Cyprus Research Promotion Foundation (CRPF). The database consists of fingerprint images captured via an optical sensor, frontal and side views of still and video face images as well as the outside surface of the human palm from two web-camera sensors, and a series of voice utterances recorded with the use of a distant array microphone. The POLYBIO database includes real multimodal and multi-biometric data from 45 individuals acquired in just a single session. In this contribution, the novel platform for data acquisition and combination - through an integrated device - of the four aforementioned single biometric modalities is de- scribed and the protocols used for this purpose as well as the contents of the data- base and its statistics are presented.
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