VISH: A multimodal biometrie database

Acquisition and calibration of multimodal biometrie data that aids in the design of a biometrie recognition system is the focus of this paper. Face images, speech/voice and scanned copy of a handwritten disclaimer from the subject are the data that are acquired and calibrated. Pose and illumination are the considered covariates for face images. Speech is collected from a distance of around 15 cms and 75 cms from the subject. An evaluation protocol is specified based on the conditions and the chosen covariates for the particular trait. Calibration studies have been conducted on the calibration subset of the collected database. Results of unimodal systems are reported. They perform reasonably well with the collected data from both scenarios.