A new fingerprint image recognition approach using artificial neural network

In this article, the application algorithm in fingerprint image recognition based on artificial neural network and wavelet transform is put forward. In this algorithm, we have constructed a flatten-structure element utilizing the low-frequency parameters, which can affect the high-frequency paramete...

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Bibliographic Details
Published in2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT) Vol. 1; pp. 295 - 298
Main Author Zou Lihua
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2010
Subjects
Artificial Neural Network
Artificial neural networks
Feature extraction
Fingerprint Image Recognition
Fingerprint recognition
Image matching
Image recognition
Mel frequency cepstral coefficient
Pattern matching
Signal processing
Training data
Wavelet Transform
Wavelet transforms
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Summary:In this article, the application algorithm in fingerprint image recognition based on artificial neural network and wavelet transform is put forward. In this algorithm, we have constructed a flatten-structure element utilizing the low-frequency parameters, which can affect the high-frequency parameters with the flatten-structure element. In this way we can enhance the fingerprint image with keeping the global texture feature of fingerprint. The experiment results indicate that this increase effect of image-pretreatment in fingerprint image recognition is good and the algorithm is effective.
ISBN:9781424455140
1424455146
DOI:10.1109/EDT.2010.5496579