Automatic identification based on hand geometry and probabilistic neural networks

El Sayed M. El-Alfy

doi:10.1109/NTMS.2012.6208758

Automatic identification based on hand geometry and probabilistic neural networks

El Sayed M. El-Alfy^*

^*Corresponding author for this work

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

5 Scopus citations

Abstract

Recently, there has been a growing interest in biometric technology as a more reliable means for verifying or identifying persons. In this paper, we present an affordable user-friendly approach for automatic personal identification based on hand geometry and probabilistic neural networks. We evaluate and compare the performance of the proposed approach with other common classifiers including naive Bayes, rule-based, decision tree, and k-NN classifiers. The empirical results reveal that probabilistic neural networks can lead to significant improvement for user identification with more than 98% accuracy, sensitivity and specificity.

Original language	English
Title of host publication	2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops
DOIs	https://doi.org/10.1109/NTMS.2012.6208758
State	Published - 2012

Publication series

Name	2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops

Keywords

authentication
biometrics
hand geometry
identification
machine learning
probabilistic neural networks, decision trees
rule-based classifiers

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality

Access to Document

10.1109/NTMS.2012.6208758

Cite this

El-Alfy, E. S. M. (2012). Automatic identification based on hand geometry and probabilistic neural networks. In 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops Article 6208758 (2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops). https://doi.org/10.1109/NTMS.2012.6208758

El-Alfy, El Sayed M. / Automatic identification based on hand geometry and probabilistic neural networks. 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops. 2012. (2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops).

@inproceedings{3d4d49d209dd4f05b65089f0ede10822,

title = "Automatic identification based on hand geometry and probabilistic neural networks",

abstract = "Recently, there has been a growing interest in biometric technology as a more reliable means for verifying or identifying persons. In this paper, we present an affordable user-friendly approach for automatic personal identification based on hand geometry and probabilistic neural networks. We evaluate and compare the performance of the proposed approach with other common classifiers including naive Bayes, rule-based, decision tree, and k-NN classifiers. The empirical results reveal that probabilistic neural networks can lead to significant improvement for user identification with more than 98\% accuracy, sensitivity and specificity.",

keywords = "authentication, biometrics, hand geometry, identification, machine learning, probabilistic neural networks, decision trees, rule-based classifiers",

author = "El-Alfy, \{El Sayed M.\}",

year = "2012",

doi = "10.1109/NTMS.2012.6208758",

language = "English",

isbn = "9781467302296",

series = "2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops",

booktitle = "2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops",

}

El-Alfy, ESM 2012, Automatic identification based on hand geometry and probabilistic neural networks. in 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops., 6208758, 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops. https://doi.org/10.1109/NTMS.2012.6208758

Automatic identification based on hand geometry and probabilistic neural networks. / El-Alfy, El Sayed M.
2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops. 2012. 6208758 (2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops).

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

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PY - 2012

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N2 - Recently, there has been a growing interest in biometric technology as a more reliable means for verifying or identifying persons. In this paper, we present an affordable user-friendly approach for automatic personal identification based on hand geometry and probabilistic neural networks. We evaluate and compare the performance of the proposed approach with other common classifiers including naive Bayes, rule-based, decision tree, and k-NN classifiers. The empirical results reveal that probabilistic neural networks can lead to significant improvement for user identification with more than 98% accuracy, sensitivity and specificity.

AB - Recently, there has been a growing interest in biometric technology as a more reliable means for verifying or identifying persons. In this paper, we present an affordable user-friendly approach for automatic personal identification based on hand geometry and probabilistic neural networks. We evaluate and compare the performance of the proposed approach with other common classifiers including naive Bayes, rule-based, decision tree, and k-NN classifiers. The empirical results reveal that probabilistic neural networks can lead to significant improvement for user identification with more than 98% accuracy, sensitivity and specificity.

KW - authentication

KW - biometrics

KW - hand geometry

KW - identification

KW - machine learning

KW - probabilistic neural networks, decision trees

KW - rule-based classifiers

UR - https://www.scopus.com/pages/publications/84863915049

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DO - 10.1109/NTMS.2012.6208758

M3 - Conference contribution

AN - SCOPUS:84863915049

SN - 9781467302296

T3 - 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops

BT - 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops

ER -

El-Alfy ESM. Automatic identification based on hand geometry and probabilistic neural networks. In 2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops. 2012. 6208758. (2012 5th International Conference on New Technologies, Mobility and Security - Proceedings of NTMS 2012 Conference and Workshops). doi: 10.1109/NTMS.2012.6208758

Automatic identification based on hand geometry and probabilistic neural networks

Abstract

Publication series

Keywords

ASJC Scopus subject areas

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