MobileNet Convolutional Neural Networks and Support Vector Machines for Palmprint Recognition-Reference-Cited by-同舟云学术

MobileNet Convolutional Neural Networks and Support Vector Machines for Palmprint Recognition

Published:2019 Issue: Volume:157 Page:110-117
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Michele Aurelia,Colin Vincent,Santika Diaz D.

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. “Handbook of biometrics”;Nixon,2008

2. “A Survey of Palmprint Recognition”;Kong;Pattern Recognition,2009

3. “Highly Accurate Palmprint Recognition Using Statistical and Wavelet Features”;Minaee;IEEE Signal Processing and Signal Processing Education Workshop,2015

4. Kekr, H. B., Sarode, K. T., Tirodkar A. A., “A study of the efficacy of using Wavelet Transforms for Palmprint Recognition”, International Conference on Computing, Communication and Applications (ICCCA),2012, pp. 1 - 6.

5. "Wavelet Energy Feature Extraction and Matching for Palmprint Recognition,";Wu;Journal of Computer Science & Technology,2005

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