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

Affiliation: EME College, NUST, Pakistan

ISBN: 978-989-8111-21-0

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 S. and (2008). FINGERPRINT IMAGE SEGMENTATION BASED ON BOUNDARY VALUES.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, 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 - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={134-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001089401340138},
isbn={978-989-8111-21-0},
}

TY - CONF

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

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