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 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.
[1] N. Ratha, S. Chen, and A. K. Jain, "Adaptive flow orientation based
feature extraction in fingerprint images". Pattern Recognition Vol.28, No.
11, pp. 1657-1672, 1995.
[2] A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, "An Identity
Authentication System Using Fingerprints," Proc. IEEE, Vol. 85, No. 9,
pp. 1365-1388, 1997.
[3] A Ravishankar Rao, "A Taxonomy for Texture Description and
Identification", Springer Verlag, New York 1990.
[4] L. Yin, R. Yang, M. Gabbouj, Y. Neuvo. "Weighted Median Filters: A
Tutorial", IEEE Trans. on Circuits and Systems, 43(3), pp. 157-192,
March 1996.
[5] B.M. Mehtre, "Fingerprint image analysis for automatic identification",
Machine Vision and Applications Vol 6, pp.124-139, 1993.
[6] M. Kawagoe and A. Tojo, "Fingerprint Pattern Classification," Pattern
Recognition, Vol. 17, No. 3, pp. 295-303, 1984.
[7] Guo, Z., and Hall, R. W. "Parallel thinning with two-sub iteration
algorithms". Communications of the ACM Vol.32, No. 3 pp. 359-373,
March 1989.
[8] Amengual, J. C., Juan, A., Prez, J. C., Prat, F., Sez, S., and Vilar, J. M.
"Real-time minutiae extraction in fingerprint images". In Proc. of the 6th
Int. Conf. on Image Processing and its Applications, pp. 871-875, July
1997.
[9] Q. Xiao and H. Raafat. "Fingerprint image post processing A combined
statistical and structural approach", Pattern Recognition Vol. 24, No.10:
pp. 985-992, 1991.
[10] L. Hong and A. K. Jain, "Classification of Fingerprint Images," 11th
Scandinavian Conference on Image Analysis, June 7-11, Kangerlussuaq,
Greenland, 1999.
[1] N. Ratha, S. Chen, and A. K. Jain, "Adaptive flow orientation based
feature extraction in fingerprint images". Pattern Recognition Vol.28, No.
11, pp. 1657-1672, 1995.
[2] A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, "An Identity
Authentication System Using Fingerprints," Proc. IEEE, Vol. 85, No. 9,
pp. 1365-1388, 1997.
[3] A Ravishankar Rao, "A Taxonomy for Texture Description and
Identification", Springer Verlag, New York 1990.
[4] L. Yin, R. Yang, M. Gabbouj, Y. Neuvo. "Weighted Median Filters: A
Tutorial", IEEE Trans. on Circuits and Systems, 43(3), pp. 157-192,
March 1996.
[5] B.M. Mehtre, "Fingerprint image analysis for automatic identification",
Machine Vision and Applications Vol 6, pp.124-139, 1993.
[6] M. Kawagoe and A. Tojo, "Fingerprint Pattern Classification," Pattern
Recognition, Vol. 17, No. 3, pp. 295-303, 1984.
[7] Guo, Z., and Hall, R. W. "Parallel thinning with two-sub iteration
algorithms". Communications of the ACM Vol.32, No. 3 pp. 359-373,
March 1989.
[8] Amengual, J. C., Juan, A., Prez, J. C., Prat, F., Sez, S., and Vilar, J. M.
"Real-time minutiae extraction in fingerprint images". In Proc. of the 6th
Int. Conf. on Image Processing and its Applications, pp. 871-875, July
1997.
[9] Q. Xiao and H. Raafat. "Fingerprint image post processing A combined
statistical and structural approach", Pattern Recognition Vol. 24, No.10:
pp. 985-992, 1991.
[10] L. Hong and A. K. Jain, "Classification of Fingerprint Images," 11th
Scandinavian Conference on Image Analysis, June 7-11, Kangerlussuaq,
Greenland, 1999.
@article{"International Journal of Information, Control and Computer Sciences:52239", author = "Jayadevan R. and Jayant V. Kulkarni and Suresh N. Mali and Hemant K. Abhyankar", title = "A New Ridge Orientation based Method of Computation for Feature Extraction from Fingerprint Images", abstract = "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.", keywords = "Minutia, orientation field, ridge segmentation,
textured image.", volume = "2", number = "7", pages = "2341-6", }