DocumentCode :
3429436
Title :
Person Recognition Using Features of Still Face Images and Text-independent Speeches
Author :
Huang, Lin ; Zhuang, Hanqi ; Zhang, Wenjing
Author_Institution :
Florida Atlantic Univ., Boca Raton
fYear :
2007
fDate :
22-24 Aug. 2007
Firstpage :
284
Lastpage :
287
Abstract :
An algorithm to fuse feature information of still images and text-independent speeches is proposed under a framework of Probabilistic Neural Network (PNN), and the conception of feature frame in feature space is proposed to synchronize and integrate the features from both signal sources. Experiment results on a virtual database show that the proposed method achieves a better recognition rate than either still face or speech technique involved in the test.
Keywords :
biometrics (access control); face recognition; feature extraction; neural nets; probability; sensor fusion; speech recognition; feature information fusion; person recognition; probabilistic neural network; still face image features; text-independent speeches; Face recognition; Feature extraction; Fingerprint recognition; Gabor filters; Image databases; Image recognition; Signal processing algorithms; Spatial databases; Speech; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 2007. PacRim 2007. IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4244-1189-4
Electronic_ISBN :
1-4244-1190-4
Type :
conf
DOI :
10.1109/PACRIM.2007.4313230
Filename :
4313230
Link To Document :
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