Modular neural network integrator for human recognition from ear images

Author

Gutierrez, Lizette ; Melin, Patricia ; Lopez, Miguel

Author_Institution

Tijuana Inst. of Technol., Tijuana, Mexico

fYear

2010

fDate

18-23 July 2010

Firstpage

1

Lastpage

5

Abstract

We propose a modular neural network architecture in order to make easy and fast the recognition process of the ear as a biometric. Comparing with other biometrics, ear recognition has one of the best performances, even when it has not received much attention. To improve the performance for ear recognition and make a comparison with other existing methods, we used the 2D wavelet analysis with Global Thresholding method, and Sugeno Measure and Winner-Takes-All (WTA) as modular neural network integrator. Recognition results achieved was up to 97%.

Keywords

biometrics (access control); ear; image recognition; neural net architecture; wavelet transforms; 2D wavelet analysis; Sugeno measure; WTA; biometrics; ear images; ear recognition; global thresholding method; human recognition; modular neural network architecture; modular neural network integrator; recognition process; winner-takes-all; Artificial neural networks; Ear; Face; Feature extraction; Fingerprint recognition; Humans; Image recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2010 International Joint Conference on

Conference_Location

Barcelona

ISSN

1098-7576

Print_ISBN

978-1-4244-6916-1

Type

conf

DOI

10.1109/IJCNN.2010.5596633

Filename

5596633