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Authors: M. Usman Akram ; Anam Tariq ; Shahida Jabeen and Shoab A. Khan

Affiliation: EME College, NUST, Pakistan

Keyword(s): Segmentation, Mean, Variance, Coherence, Gradient, Gray-level values.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Formation and Preprocessing ; Image Quality

Abstract: A critical step in automatic fingerprint identification system(AFIS) is the accurate segmentation of fingerprint images. The objective of fingerprint segmentation is to extract the region of interest(ROI).We present a method for fingerprint segmentation based on boundary area gray-level values. We also present a modified traditional gradient based segmentation technique. The enhanced segmentation technique is tested on FVC2004 database and results show that our modified method gives better results in all cases.

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Paper citation in several formats:
Usman Akram, M., Tariq, A., Jabeen, S., Khan and S. A. (2008). FINGERPRINT IMAGE SEGMENTATION BASED ON BOUNDARY VALUES. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 134-138. DOI: 10.5220/0001089401340138

@conference{visapp08,
author={M. {Usman Akram} and Anam Tariq and Shahida Jabeen and Shoab A. Khan},
title={FINGERPRINT IMAGE SEGMENTATION BASED ON BOUNDARY VALUES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={134-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001089401340138},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - FINGERPRINT IMAGE SEGMENTATION BASED ON BOUNDARY VALUES
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Usman Akram, M.
AU - Tariq, A.
AU - Jabeen, S.
AU - Khan, S.
PY - 2008
SP - 134
EP - 138
DO - 10.5220/0001089401340138
PB - SciTePress

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