Title :
Person recognition by feature fusion
Author_Institution :
Dept. of Eng. Technol., Metropolitan State Coll. of Denver, Denver, CO, USA
Abstract :
Biometric fusion is an essential procedure in any multi-modal biometric person recognition systems and it can be performed at sensor, feature, score and decision levels. This paper proposes a simulated annealing (SA) algorithm for the fusion of multi-modal biometric data. This method is applied to an Audio-Visual (AV) person recognition database that includes acoustic and visual information. Its superior performance is demonstrated through tests on 40 subjects in the AV database.
Keywords :
audio databases; biometrics (access control); feature extraction; image fusion; image recognition; simulated annealing; visual databases; acoustic information; audio-visual person recognition database; biometric fusion; feature fusion; multimodal biometric person recognition systems; recognition decision level; recognition feature level; recognition score level; recognition sensor level; simulated annealing algorithm; visual information; Cooling; Face; Feature extraction; Speech; Testing; Training; Visualization; SA; feature fusion; neural network; recognition rate;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974531
