Distributed Computing and Artificial Intelligence, 13th International Conference pp 265-273 | Cite as
Fingerprint Orientation Field Estimation Using ROEVA (Ridge Orientation Estimation and Verification Algorithm) and ADF (Anisotropic Diffusion Filtering)
Abstract
The goal of this paper is to offer a joined approach in fingerprint orientation field estimation, integrating some of the most known techniques like ridge orientation estimation and image filtering, both tested using images from local and public databases. We propose a reliable orientation estimation algorithm [6] and anisotropic image filtering in this paper. To show the applied theory experimental results, we use Matlab for our implementation of the above algorithms. The investigation results showed robustness improving the correct estimation of the fingerprint ridge orientation process.
Keywords
Fingerprint Fingerprint enhancement Orientation estimation Orientation enhancement Anisotropic filteringPreview
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References
- 1.Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: FVC2004 database DB2. Handbook of Fingerprint Recognition, 2nd edn. Springer, London (2009)Google Scholar
- 2.Zhu, E., Yin, J., Hu, C., Zhang, G.: A systematic method for fingerprint ridge orientation estimation and image segmentation. Pattern Recognition (2006)Google Scholar
- 3.Weickert, J.: Anisotropic Diffusion in Image Processing, B.G. Teubner Stuttgart (1998)Google Scholar
- 4.Lee, K.-C., Prabhakar, S.: Probabilistic Orientation Field Estimation for Fingerprint Enhancement and Verification. In: Biometrics Symposium (2008)Google Scholar
- 5.Hong, L., Wan, Y., Jain, A.K.: Fingerprint image enhancement: Algorithm and performance evaluation. IEEE Trans. Pattern Analysis. Machine Intelligence (1998)Google Scholar
- 6.Liu, L., Dai, T.-S.: A Reliable Fingerprint Orientation Estimation Algorithm (2011)Google Scholar
- 7.Nitika, Gill, N.S.: Fingerprint Recognition Techniques: A Critical Review. International Journal of Computer Science and Management Studies (2013)Google Scholar
- 8.Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. University of California (1990)Google Scholar
- 9.Ratha, N.K., Chen, S.Y., Jain, A.K.: Adaptive flow orientation-based feature extraction in fingerprint images. Pattern Recognition (1995)Google Scholar
- 10.Ram, S.: Fingerprint Ridge Orientation Modeling, Graz University of Technology Institute for Computer Graphics and Vision (2008)Google Scholar
- 11.UPEK Fingerprint Database, April 12, 2012. http://www.advancedsourcecode.com/PNGfingerprint.rar