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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Bibliographic Details
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
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Summary: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."]}