Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography

Leif E. Peterson; Kirill V. Larin

doi:10.1109/ICMLA.2008.36

Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography

Leif E. Peterson, Kirill V. Larin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

We used forward (FNN), Hermite (HNN), and Laguerre (LNN) neural networks to classify real and artificial fingerprints based on images obtained from optical coherence tomography (OCT). Use of a self-organizing map (SOM) after Gabor edge detection of OCT images of fingerprint and material surfaces resulted in the greatest classification performance when compared with moments based on color, texture, and shape. The FNN and HNN performed similarly; however, the LNN performed the worst at a low number of hidden nodes but overtook performance of the FNN and HNN as the number of hidden nodes approached n = 10.

Original language	English (US)
Title of host publication	Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008
Pages	637-643
Number of pages	7
DOIs	https://doi.org/10.1109/ICMLA.2008.36
State	Published - 2008
Event	7th International Conference on Machine Learning and Applications, ICMLA 2008 - San Diego, CA, United States Duration: Dec 11 2008 → Dec 13 2008

Publication series

Name	Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008

Other

Other	7th International Conference on Machine Learning and Applications, ICMLA 2008
Country/Territory	United States
City	San Diego, CA
Period	12/11/08 → 12/13/08

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Software

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10.1109/ICMLA.2008.36

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Peterson, L. E., & Larin, K. V. (2008). Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography. In Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008 (pp. 637-643). [4725042] (Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008). https://doi.org/10.1109/ICMLA.2008.36

Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography. / Peterson, Leif E.; Larin, Kirill V.

Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. 2008. p. 637-643 4725042 (Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Peterson, LE & Larin, KV 2008, Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography. in Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008., 4725042, Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008, pp. 637-643, 7th International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, CA, United States, 12/11/08. https://doi.org/10.1109/ICMLA.2008.36

Peterson LE, Larin KV. Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography. In Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008. 2008. p. 637-643. 4725042. (Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008). https://doi.org/10.1109/ICMLA.2008.36

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Hermite/Laguerre neural networks for classification of artificial fingerprints from optical coherence tomography

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