DocumentCode :
2150278
Title :
Multi-Modal Identity Verification Based on Improved BP Neural Network
Author :
Luan, Fang-Jun ; Li, Kai ; Ma Si-liang
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Back propagation neural network, as a method of data fusion technology, has been used in many common fields widely. In this paper, back propagation neural network based on binary full codes has been presented. Traditional back propagation method may classify the data as a good result, but it does not recognize the untrained data exactly. Back propagation neural network based on binary full codes method can solve this problem with mapping the float data into binary space using multi-modal on feature level fusion. The result of experiment proves that this algorithm obtains a good verification effect.
Keywords :
backpropagation; binary codes; biometrics (access control); pattern classification; sensor fusion; back propagation neural network; binary full codes; biometrics; data classification; data fusion technology; feature level fusion; multimodal identity verification; Artificial neural networks; Biometrics; Control engineering; Data mining; Feedforward systems; Fingerprint recognition; Forgery; Multi-layer neural network; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303909
Filename :
5303909
Link To Document :
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