CORE POINT DETECTION USING FINE ORIENTATION FIELD ESTIMATION

M. Usman Akram, Rabia Arshaf, Rabia Anwar, Shoab A. Khan, Sarwat Nasir

2008

Abstract

Performance of Automatic Fingerprint Identification System( AFIS) is greatly influenced by the detection of core point. Extraction of best Region Of Interest(ROI) from image can play a vital role for core point detection. In this paper, we present an improved technique for fine orientation field estimation and core point detection. The distinct feature of our technique is that it gives high detection percentage of core point even in case of low quality fingerprint images. The proposed algorithm is applied on FVC2004 database. Results of experiments demonstrate improved performance for detecting core point.

Paper Citation

in Harvard Style

Usman Akram M., Arshaf R., Anwar R., Khan S. and Nasir S. (2008). CORE POINT DETECTION USING FINE ORIENTATION FIELD ESTIMATION . 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 351-356. DOI: 10.5220/0001089503510356

in Bibtex Style

@conference{visapp08,
author={M. Usman Akram and Rabia Arshaf and Rabia Anwar and Shoab A. Khan and Sarwat Nasir},
title={CORE POINT DETECTION USING FINE ORIENTATION FIELD ESTIMATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={351-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001089503510356},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - CORE POINT DETECTION USING FINE ORIENTATION FIELD ESTIMATION
SN - 978-989-8111-21-0
AU - Usman Akram M.
AU - Arshaf R.
AU - Anwar R.
AU - Khan S.
AU - Nasir S.
PY - 2008
SP - 351
EP - 356
DO - 10.5220/0001089503510356