A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images

An important step in studying the statistics of fingerprint minutia features is to reliably extract minutia features from the fingerprint images. A new reliable method of computation for minutiae feature extraction from fingerprint images is presented. A fingerprint image is treated as a textured im...

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Main Authors: Jayadevan, R., Jayant V. Kulkarni, Mali, Suresh N., Abhyankar, Hemant K.
Format: Text
Language:English
Published: Zenodo 2008
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1058528
https://zenodo.org/record/1058528
id ftdatacite:10.5281/zenodo.1058528
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1058528 2023-05-15T16:59:43+02:00 A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images Jayadevan, R. Jayant V. Kulkarni Mali, Suresh N. Abhyankar, Hemant K. 2008 https://dx.doi.org/10.5281/zenodo.1058528 https://zenodo.org/record/1058528 en eng Zenodo https://dx.doi.org/10.5281/zenodo.1058527 Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Minutia orientation field ridge segmentation textured image. Text Journal article article-journal ScholarlyArticle 2008 ftdatacite https://doi.org/10.5281/zenodo.1058528 https://doi.org/10.5281/zenodo.1058527 2021-11-05T12:55:41Z An important step in studying the statistics of fingerprint minutia features is to reliably extract minutia features from the fingerprint images. A new reliable method of computation for minutiae feature extraction from fingerprint images is presented. A fingerprint image is treated as a textured image. An orientation flow field of the ridges is computed for the fingerprint image. To accurately locate ridges, a new ridge orientation based computation method is proposed. After ridge segmentation a new method of computation is proposed for smoothing the ridges. The ridge skeleton image is obtained and then smoothed using morphological operators to detect the features. A post processing stage eliminates a large number of false features from the detected set of minutiae features. The detected features are observed to be reliable and accurate. : {"references": ["N. Ratha, S. Chen, and A. K. Jain, \"Adaptive flow orientation based\nfeature extraction in fingerprint images\". Pattern Recognition Vol.28, No.\n11, pp. 1657-1672, 1995.", "A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, \"An Identity\nAuthentication System Using Fingerprints,\" Proc. IEEE, Vol. 85, No. 9,\npp. 1365-1388, 1997.", "A Ravishankar Rao, \"A Taxonomy for Texture Description and\nIdentification\", Springer Verlag, New York 1990.", "L. Yin, R. Yang, M. Gabbouj, Y. Neuvo. \"Weighted Median Filters: A\nTutorial\", IEEE Trans. on Circuits and Systems, 43(3), pp. 157-192,\nMarch 1996.", "B.M. Mehtre, \"Fingerprint image analysis for automatic identification\",\nMachine Vision and Applications Vol 6, pp.124-139, 1993.", "M. Kawagoe and A. Tojo, \"Fingerprint Pattern Classification,\" Pattern\nRecognition, Vol. 17, No. 3, pp. 295-303, 1984.", "Guo, Z., and Hall, R. W. \"Parallel thinning with two-sub iteration\nalgorithms\". Communications of the ACM Vol.32, No. 3 pp. 359-373,\nMarch 1989.", "Amengual, J. C., Juan, A., Prez, J. C., Prat, F., Sez, S., and Vilar, J. M.\n\"Real-time minutiae extraction in fingerprint images\". In Proc. of the 6th\nInt. Conf. on Image Processing and its Applications, pp. 871-875, July\n1997.", "Q. Xiao and H. Raafat. \"Fingerprint image post processing A combined\nstatistical and structural approach\", Pattern Recognition Vol. 24, No.10:\npp. 985-992, 1991.\n[10] L. Hong and A. K. Jain, \"Classification of Fingerprint Images,\" 11th\nScandinavian Conference on Image Analysis, June 7-11, Kangerlussuaq,\nGreenland, 1999."]} Text Kangerlussuaq DataCite Metadata Store (German National Library of Science and Technology) Bolle ENVELOPE(6.833,6.833,-71.900,-71.900) Kangerlussuaq ENVELOPE(-55.633,-55.633,72.633,72.633) Prat ENVELOPE(-59.467,-59.467,-62.467,-62.467)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Minutia
orientation field
ridge segmentation
textured image.
spellingShingle Minutia
orientation field
ridge segmentation
textured image.
Jayadevan, R.
Jayant V. Kulkarni
Mali, Suresh N.
Abhyankar, Hemant K.
A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images
topic_facet Minutia
orientation field
ridge segmentation
textured image.
description An important step in studying the statistics of fingerprint minutia features is to reliably extract minutia features from the fingerprint images. A new reliable method of computation for minutiae feature extraction from fingerprint images is presented. A fingerprint image is treated as a textured image. An orientation flow field of the ridges is computed for the fingerprint image. To accurately locate ridges, a new ridge orientation based computation method is proposed. After ridge segmentation a new method of computation is proposed for smoothing the ridges. The ridge skeleton image is obtained and then smoothed using morphological operators to detect the features. A post processing stage eliminates a large number of false features from the detected set of minutiae features. The detected features are observed to be reliable and accurate. : {"references": ["N. Ratha, S. Chen, and A. K. Jain, \"Adaptive flow orientation based\nfeature extraction in fingerprint images\". Pattern Recognition Vol.28, No.\n11, pp. 1657-1672, 1995.", "A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, \"An Identity\nAuthentication System Using Fingerprints,\" Proc. IEEE, Vol. 85, No. 9,\npp. 1365-1388, 1997.", "A Ravishankar Rao, \"A Taxonomy for Texture Description and\nIdentification\", Springer Verlag, New York 1990.", "L. Yin, R. Yang, M. Gabbouj, Y. Neuvo. \"Weighted Median Filters: A\nTutorial\", IEEE Trans. on Circuits and Systems, 43(3), pp. 157-192,\nMarch 1996.", "B.M. Mehtre, \"Fingerprint image analysis for automatic identification\",\nMachine Vision and Applications Vol 6, pp.124-139, 1993.", "M. Kawagoe and A. Tojo, \"Fingerprint Pattern Classification,\" Pattern\nRecognition, Vol. 17, No. 3, pp. 295-303, 1984.", "Guo, Z., and Hall, R. W. \"Parallel thinning with two-sub iteration\nalgorithms\". Communications of the ACM Vol.32, No. 3 pp. 359-373,\nMarch 1989.", "Amengual, J. C., Juan, A., Prez, J. C., Prat, F., Sez, S., and Vilar, J. M.\n\"Real-time minutiae extraction in fingerprint images\". In Proc. of the 6th\nInt. Conf. on Image Processing and its Applications, pp. 871-875, July\n1997.", "Q. Xiao and H. Raafat. \"Fingerprint image post processing A combined\nstatistical and structural approach\", Pattern Recognition Vol. 24, No.10:\npp. 985-992, 1991.\n[10] L. Hong and A. K. Jain, \"Classification of Fingerprint Images,\" 11th\nScandinavian Conference on Image Analysis, June 7-11, Kangerlussuaq,\nGreenland, 1999."]}
format Text
author Jayadevan, R.
Jayant V. Kulkarni
Mali, Suresh N.
Abhyankar, Hemant K.
author_facet Jayadevan, R.
Jayant V. Kulkarni
Mali, Suresh N.
Abhyankar, Hemant K.
author_sort Jayadevan, R.
title A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images
title_short A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images
title_full A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images
title_fullStr A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images
title_full_unstemmed A New Ridge Orientation Based Method Of Computation For Feature Extraction From Fingerprint Images
title_sort new ridge orientation based method of computation for feature extraction from fingerprint images
publisher Zenodo
publishDate 2008
url https://dx.doi.org/10.5281/zenodo.1058528
https://zenodo.org/record/1058528
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genre Kangerlussuaq
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op_relation https://dx.doi.org/10.5281/zenodo.1058527
op_rights Open Access
Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.1058528
https://doi.org/10.5281/zenodo.1058527
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