  A new multimodal biometric database, acquired in the framework of the
BiosecurID project, is presented together with the description of the
acquisition setup and protocol. The database includes eight unimodal biometric
traits, namely: speech, iris, face (still images, videos of talking faces),
handwritten signature and handwritten text (on-line dynamic signals, off-line
scanned images), fingerprints (acquired with two different sensors), hand
(palmprint, contour-geometry) and keystroking. The database comprises 400
subjects and presents features such as: realistic acquisition scenario,
balanced gender and population distributions, availability of information about
particular demographic groups (age, gender, handedness), acquisition of replay
attacks for speech and keystroking, skilled forgeries for signatures, and
compatibility with other existing databases. All these characteristics make it
very useful in research and development of unimodal and multimodal biometric
systems.
