Abstract
Fuzzy logic (FL) is a powerful problem solving methodology receiving wide spread acceptance for a range of applications. FL is also considered for image understanding applications such as edge detection, feature extraction, classification and clustering. It provides a simple and easy way to draw a definite conclusion from ambiguous, imprecise or vague information. Like Artificial Neural Network (ANN) models, some fuzzy inference system (FIS)s have the capability of universal approximation. The adaptive neuro-fuzzy inference system (ANFIS) belongs to the class of systems commonly known as neuro-fuzzy systems (NFs). NFs combines the advantages of ANN with those of fuzzy systems. An ANFIS based identification system is described here which uses fingerprint as an input. Experiments are carried out using a number of samples. Obtained results show that the system is reliable enough for considering it as a part of a verification mechanism.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Jain, A., Hong, L., Pankanti, S.: Biometric Identification. Communications of the ACM 43(2), 91–98 (2000)
Jain, A., Hong, L., Pankanti, S., Bolle, R.: An identity authentication system using fingerprints. Proceedings of the IEEE 85, 1365–1388 (1997)
Thai, R.: Fingerprint Image Enhancement and Minutiae Extraction. B. Eng. thesis, The University of Western Australia (2003)
Ross, T.J.: Fuzzy logic with Engineering Applications, 2nd edn. Wiley India, New Delhi (2008)
Maltoni, D., Maio, D., Jain, A.K., Prabhakar, S.: Handbook of Fingerprint Recognition, 2nd edn. Springer Professional Computing, Berlin (2009)
Borah, T.R., Sarma, K.K., Talukdar, P.H.: Fingerprint Recognition using Artificial Neural Network. International Journal of Electronics Signals and Systems (IJESS) 3(1), 98–101 (2013)
Jang, R.J.: ANFIS: Adaptive-Network Based Fuzzy Inference System. IEEE Transaction on Systems, Man and Cybernetics 23(3) (1993)
Hsieh, C.T., Hu, C.S.: An Application of Fuzzy Logic and Neural network to Fingerprint Recognition. In: Proceedings of IEEE-Eurasip Nonlinear Signal and Image Processing (NSIP 2005), Japan, vol. 20 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Borah, T.R., Sarma, K.K., Talukdar, P.H. (2013). Fingerprint Recognition Based on Adaptive Neuro-Fuzzy Inference System. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-45062-4_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45061-7
Online ISBN: 978-3-642-45062-4
eBook Packages: Computer ScienceComputer Science (R0)