FINGERPRINT IDENTIFICATION - A Support Vector Machine Approach

Terje Kristensen

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Paper

FINGERPRINT IDENTIFICATION - A Support Vector Machine Approach

Topics: Machine Learning; Pattern Recognition

In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 451-458, 2010 , Valencia, Spain

Author: Terje Kristensen

Affiliation: Bergen University College, Norway

Keyword(s): AFIS, SVM, Classification rate.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Evolutionary Computing ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems

Abstract: In this work a hybrid technique for classification of fingerprint identification has been developed to decrease the matching time. For classification a Support Vector Machine is described and used. Automatic Fingerprint Identification Systems are widely used today, and it is therefore necessary to find a classification system that is less time-consuming. The given fingerprint database is decomposed into four different subclasses and a SVM algorithm is used to train the system to do correct classification. The classification rate has been estimated to about 87.0 % of unseen fingerprints. The average matching time is decreased with a factor of about 3.5 compared to brute force search applied.

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Paper citation in several formats:

Kristensen, T. (2010). FINGERPRINT IDENTIFICATION - A Support Vector Machine Approach. In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-674-021-4; ISSN 2184-433X, SciTePress, pages 451-458. DOI: 10.5220/0002694104510458

@conference{icaart10,
author={Terje Kristensen.},
title={FINGERPRINT IDENTIFICATION - A Support Vector Machine Approach},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2010},
pages={451-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002694104510458},
isbn={978-989-674-021-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - FINGERPRINT IDENTIFICATION - A Support Vector Machine Approach
SN - 978-989-674-021-4
IS - 2184-433X
AU - Kristensen, T.
PY - 2010
SP - 451
EP - 458
DO - 10.5220/0002694104510458
PB - SciTePress