As biometrics gains popularity, there is an increasing concern about privacy and misuse of biometric data
held in central repositories. Furthermore, biometric verification systems face challenges arising from noise and
intra-class variations. To tackle both problems, a multimodal biometric verification system combining fingerprint
and voice modalities is proposed. The system combines the two modalities at the template level, using multibiometric
templates. The fusion of fingerprint and voice data successfully diminishes privacy concerns by hiding
the minutiae points from the fingerprint, among the artificial points generated by the features obtained from
the spoken utterance of the speaker. Equal error rates are observed to be under 2% for the system where 600
utterances from 30 people have been processed and fused with a database of 400 fingerprints from 200 individuals.
Accuracy is increased compared to the previous results for voice verification over the same speaker database.