Title :
A data fusion technique designed for multimodal biometric systems
Author :
Daniel, David Marius ; Monica, Borda
Author_Institution :
Telecommun. & Inf. Technol., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
In this paper data obtained from the two recognizers (fingerprint, iris) are fused at the feature extraction level. A new method of data fusion is proposed. Decision about the person´s identity is made for the proposed multimodal system and for each unimodal biometric system analyzed. Also the performance obtained by each system was compared and presented.
Keywords :
feature extraction; fingerprint identification; iris recognition; sensor fusion; data fusion technique; feature extraction level; fingerprint recognition; iris recognition; multimodal biometric systems; person identity; Fingerprint recognition; Image resolution; Iris; Software; Software measurement; Testing; Thumb; feature extraction level; fingerprint; fusion; iris; modal biometric system; unimodal biometric system;
Conference_Titel :
Electronics and Telecommunications (ISETC), 2012 10th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-1177-9
DOI :
10.1109/ISETC.2012.6408095
