The Palm Vein Graph - Feature Extraction and Matching

Arathi Arakala, Hao Hao, Stephen Davis, K. J. Horadam

Abstract

We present a graphical representation for palm vein patterns for use as biometric identifiers. The palm vein image captured from an infra red camera is converted into a spatial graph. After image enhancement and binarisation, the palm vein features are extracted from the skeleton using a novel two stage spur removal technique. The location of the features and the connections between them are used to define a Palm Vein Graph. Palm vein graphs are compared using the Biometric Graph Matching (BGM) Algorithm. We propose a graph registration algorithm that improves over existing state of the art algorithms for graph registration. We introduce 10 graph topology-based measures for comparing palm vein graphs. Experiments are conducted on a public palm vein database. One of the introduced measures, an edge-based similarity, gave a definite improvement in matching accuracies over other published results on the same database, especially for samples with only a small common overlap area due to displacement. In addition, when the edge-based measure was combined with one of three other topological features, we demonstrate a further improvement in matching accuracy.

References

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Paper Citation


in Harvard Style

Arakala A., Hao H., Davis S. and Horadam K. (2015). The Palm Vein Graph - Feature Extraction and Matching . In Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP, ISBN 978-989-758-081-9, pages 295-303. DOI: 10.5220/0005239102950303


in Bibtex Style

@conference{icissp15,
author={Arathi Arakala and Hao Hao and Stephen Davis and K. J. Horadam},
title={The Palm Vein Graph - Feature Extraction and Matching},
booktitle={Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,},
year={2015},
pages={295-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005239102950303},
isbn={978-989-758-081-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information Systems Security and Privacy - Volume 1: ICISSP,
TI - The Palm Vein Graph - Feature Extraction and Matching
SN - 978-989-758-081-9
AU - Arakala A.
AU - Hao H.
AU - Davis S.
AU - Horadam K.
PY - 2015
SP - 295
EP - 303
DO - 10.5220/0005239102950303