Modular neural network integrator for human recognition from ear images

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 recog...

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Bibliographic Details
Main Authors: Gutierrez, Lizette, Melin, Patricia, Lopez, Miguel
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
Ear
Face
Feature extraction
Fingerprint recognition
Humans
Image recognition
Online Access:Request full text
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Description
Summary: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%.
ISSN:2161-4393
2161-4407
DOI:10.1109/IJCNN.2010.5596633