Abstract
This paper presents an evolutionary artificial neural network for classification of fingerprints in the area of biometric recognition. An efficient way for feature extraction from the fingerprints using a Gabor filter bank has been studied very rigorously and extracted potentially useful features. Here five classes of fingerprints have been taken into consideration. We have conducted experimental study to prove the effectiveness of the method on NIST-9 database. It is evident from the results that the method is effective in classifying the fingerprints with a varying degree of accuracy vis-à-vis to the different parameters setting.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wayman, J.L., Jain, A.K., Maio, D., Maltoni, D.: An introduction to biometric authentication systems. In: Biometric Systems (2005)
Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank based fingerprint matching. IEEE Trans. Image Process. 9, 846–859 (2000)
Jain, A.K., Prabhakar, S., Hong, L.: A multichannel approach to fingerprint classification. IEEE Trans. Pattern Anal. Mach. Intell. 21(4), 348–359 (1999)
Cappeli, R., Maio, D., Maltoni, D., Wayman, J.L., Jain, A.K.: Performance evaluation of fingerprint verification systems. IEEE Trans. Pattern Anal. Mach. Intell. 28, 3–18 (2006)
Cappeli, R., Maio, D., Lumini, A., Maltoni, D.: Fingerprint image reconstruction from standard templates. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29 (2007)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of fingerprint recognition. Springer Science and Business Media (2009)
Jain, A.K., Prabhakar, S., Hong, L., Pankanti, S.: Filterbank based fingerprint matching. IEEE Trans. Image Process. 9(5), 846–859 (2000)
Cappeli, R., Lumini, A., Maio, D., Maltoni, D.: Fingerprint classification by directional image partitioning. IEEE Trans. Pattern Anal. Mach. Intell. 21, 402–421 (1999)
Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14, 4–20 (2004)
Bhanu, B., Lin, Y.: Genetic algorithm based feature selection for target detection in SAR images. Image Vis. Comput. 21, 591–608 (2003)
Vieira, H., Borges, D.L.: Fingerprint classification with neural networks. In: Brazilian Symposium on Neural Networks, pp. 66–72 (1997)
Watson, C.I., Wilson, C.L.: NIST special database 4, fingerprint database. Nat’l Inst. Stand. Technol. (1992)
Wilson, C.L., Candela, G.T., Watson, C.I.: Neural network fingerprint classification. J. Artif. Neural Networks 1(2), 203–228 (1993)
Candela, G.T., Grother, P.J., Watson, C.I., Wilkinson, R.A., Wilson, C.L.: PCASYS—a pattern-level classification automation system for fingerprints. Technical report NISTIR 5647 (1995)
Jain, A.K., Hong, L., Pankanti, S., Bolle, R.: An identity authentication system using fingerprints. Proc. IEEE 85(9), 1365–1388 (1997)
Acknowledgements
The first author would like to thank the technical support of Department of Information and Communication Technology, Fakir Mohan University, Vyasa Vihar, Balasore.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mishra, A., Dehuri, S. (2019). Fingerprint Classification by Filter Bank Approach Using Evolutionary ANN. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_34
Download citation
DOI: https://doi.org/10.1007/978-981-13-0617-4_34
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-0616-7
Online ISBN: 978-981-13-0617-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)