ProxyFAUG: Proximity-based Fingerprint Augmentation

02/04/2021
by   Grigorios G. Anagnostopoulos, et al.
0

The proliferation of data-demanding machine learning methods has brought to light the necessity for methodologies which can enlarge the size of training datasets, with simple, rule-based methods. In-line with this concept, the fingerprint augmentation scheme proposed in this work aims to augment fingerprint datasets which are used to train positioning models. The proposed method utilizes fingerprints which are recorded in spacial proximity, in order to perform fingerprint augmentation, creating new fingerprints which combine the features of the original ones. The proposed method of composing the new, augmented fingerprints is inspired by the crossover and mutation operators of genetic algorithms. The ProxyFAUG method aims to improve the achievable positioning accuracy of fingerprint datasets, by introducing a rule-based, stochastic, proximity-based method of fingerprint augmentation. The performance of ProxyFAUG is evaluated in an outdoor Sigfox setting using a public dataset. The best performing published positioning method on this dataset is improved by 40 augmented dataset. The analysis of the results indicate a systematic and significant performance improvement at the lower error quartiles, as indicated by the impressive improvement of the median error.

READ FULL TEXT

Authors

page 1

08/27/2020

Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN

Although most fingerprint matching methods utilize minutia points and/or...
05/30/2022

Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review

Outdoor positioning systems based on the Global Navigation Satellite Sys...
11/19/2012

An Effective Fingerprint Classification and Search Method

This paper presents an effective fingerprint classification method desig...
03/23/2022

A Method of Data Augmentation to Train a Small Area Fingerprint Recognition Deep Neural Network with a Normal Fingerprint Database

Fingerprints are popular among the biometric based systems due to ease o...
12/03/2021

I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent Stadiums

Based on various existing wireless fingerprint location algorithms in in...
08/03/2015

Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns

With the growing use of biometric authentication systems in the past yea...
05/19/2019

Robust Wireless Fingerprinting via Complex-Valued Neural Networks

A "wireless fingerprint" which exploits hardware imperfections unique to...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.