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