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Research Article
Review on Detection and Rectification of Distorted Fingerprint
Jinsha KS1
Jeno Paul P2
1 PG Student, CSE Dept, ASIET, Kalady, Kerala, India. 2 Professor, EEE Dept, ASIET, Kalady, Kerala, India.
Published Online: January-April 2022
Pages: 01-04
Cite this article
No DOIReferences
1. 1.X. Si, J. Feng, and J. Zhou, “Detecting fingerprint distortion from a single image,” in Proc. IEEE Int. Workshop Inf. Forensics Security,
2012, pp. 1–6.
2. D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, Handbook of Fin- gerprint Recognition, 2nd ed. Berlin, Germany: Springer-Verlag,
2009.
3. FVC2006: The fourth international fingerprint verification competi- tion.(2006). [Online]. Available:http://bias.csr.unibo.it/fvc2006/
4. V. N. Dvornychenko, and M. D. Garris, “Summary of NIST latent fingerprint testing workshop,” Nat. Inst. Standards Technol., Gai-
thersburg, MD, USA, Tech. Rep. NISTIR 7377, Nov. 2006.
5. Neurotechnology Inc., VeriFinger. (2009).[Online]. Available:http://www.neurotechnology.com
6. L. M. Wein and M. Baveja, “Using fingerprint image quality to improve the identification performance of the U.S. visitor and immigrant
status indicator technology program,” Proc. Nat. Acad. Sci. USA, vol. 102, no. 21, pp. 7772–7775, 2005.
7. S. Yoon, J. Feng, and A. K. Jain, “Altered fingerprints: Analysis and detection,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 3,
pp. 451–464, Mar. 2012.
8. E. Tabassi, C. Wilson, and C. Watson, “Fingerprint image qual- ity,” Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Tech. Rep.
NISTIR 7151, Aug. 2004.
9. F. Alonso-Fernandez, J. Fi´errez-Aguilar, J. Ortega-Garcia, J. Gon- zalez-Rodriguez, H. Fronthaler, K. Kollreider, and J. Bigu€n, “A
comparative study offingerprint image-quality estimation meth- ods,” IEEE Trans. Inf. Forensics Security, vol. 2, no. 4, pp. 734–743, Dec.
2007.
10. J. Fi´errez-Aguilar, Y. Chen, J. Ortega- Garcia, and A. K. Jain, “Incorporating image quality in multi-algorithm fingerprint ver-
ification,” in Proc. Int. Conf. Biometrics, 2006, pp. 213
2012, pp. 1–6.
2. D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar, Handbook of Fin- gerprint Recognition, 2nd ed. Berlin, Germany: Springer-Verlag,
2009.
3. FVC2006: The fourth international fingerprint verification competi- tion.(2006). [Online]. Available:http://bias.csr.unibo.it/fvc2006/
4. V. N. Dvornychenko, and M. D. Garris, “Summary of NIST latent fingerprint testing workshop,” Nat. Inst. Standards Technol., Gai-
thersburg, MD, USA, Tech. Rep. NISTIR 7377, Nov. 2006.
5. Neurotechnology Inc., VeriFinger. (2009).[Online]. Available:http://www.neurotechnology.com
6. L. M. Wein and M. Baveja, “Using fingerprint image quality to improve the identification performance of the U.S. visitor and immigrant
status indicator technology program,” Proc. Nat. Acad. Sci. USA, vol. 102, no. 21, pp. 7772–7775, 2005.
7. S. Yoon, J. Feng, and A. K. Jain, “Altered fingerprints: Analysis and detection,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 3,
pp. 451–464, Mar. 2012.
8. E. Tabassi, C. Wilson, and C. Watson, “Fingerprint image qual- ity,” Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Tech. Rep.
NISTIR 7151, Aug. 2004.
9. F. Alonso-Fernandez, J. Fi´errez-Aguilar, J. Ortega-Garcia, J. Gon- zalez-Rodriguez, H. Fronthaler, K. Kollreider, and J. Bigu€n, “A
comparative study offingerprint image-quality estimation meth- ods,” IEEE Trans. Inf. Forensics Security, vol. 2, no. 4, pp. 734–743, Dec.
2007.
10. J. Fi´errez-Aguilar, Y. Chen, J. Ortega- Garcia, and A. K. Jain, “Incorporating image quality in multi-algorithm fingerprint ver-
ification,” in Proc. Int. Conf. Biometrics, 2006, pp. 213
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