BioPass-UFPB: a Novel Multibiometric Database

Autor: Arnaldo Gualberto de Andrade e Silva, Herman M. Gomes, Diego F. S. Lima, Hugo N. Oliveira, Paulo R. B. Lins, Leonardo Vidal Batista
Rok vydání: 2019
Předmět:
Zdroj: ICB
DOI: 10.1109/icb45273.2019.8987313
Popis: The baseline of a new multibiometric database is presented. The database consists of hand-and-fingerprint images acquired under a controlled environment to produce 5184 × 3456 pixels (hand) and 800×750 with 500 dpi (finger) images. The BioPass-UFPB includes data from 100 individuals and data acquisition, setup and protocols are described, as well as population statistics. Verification and classification results are presented for the hand images in order to provide a baseline for other research projects using these data. BioPass-UFPB is publicly available for research purposes in a conscious effort to improve reproducibility in multimodal biometrics.
Databáze: OpenAIRE