@inproceedings{fa70e627fafe4f148f63dce9b03f8af2,
title = "Palmprint recognition using polynomial neural network",
abstract = "In this paper, we propose a robust palmprint recognition approach. Firstly, a salient-point based method is applied to segment as well as align the region of interest (ROI) from the palmprint image. Then, a subspace projection technique, namely, independent component analysis (ICA) is performed on the ROI to extract features. Finally, a polynomial neural network (PNN) is used to make classification on reduced feature subspace. The effectiveness of the proposed method has been demonstrated in experiments.",
keywords = "Palmprint, neural network, polynomial, recognition",
author = "Huang, \{Lin Lin\} and Na Li",
year = "2010",
doi = "10.1007/978-3-642-13318-3\_27",
language = "英语",
isbn = "3642133177",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "208--213",
booktitle = "Advances in Neural Networks - ISNN 2010 - 7th International Symposium on Neural Networks, ISNN 2010, Proceedings",
edition = "PART 2",
note = "7th International Symposium on Neural Networks, ISNN 2010 ; Conference date: 06-06-2010 Through 09-06-2010",
}