Abstract
A Kohonen self-organizing neural network embedded with genetic algorithm for fingerprint recognition is proposed in this paper. The genetic algorithm is embedded to initiate the Kohonen classifers. By the proposed approach, the neural network learning performance and accuracy are greatly enhanced. In addition, the genetic algorithm can successfully avoid the neural network from being trapped in a local minimum. The proposed method was tested for the recognition of fingerprints. The results were promising to applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gader, P.D., Khabou, M.A.: Automatic feature generation for handwritten digit recognition. IEEE Transactions on Pattern analysis and Machine Intelligence 18(12), 1256–1261 (1996)
Galton, F.: Fingerprints. McMillan, London (1982)
Goldberg, D.E.: Genetic Algorithms in search, Optimization and Machine Learning. Addison Wesley, Pub., Reading (1989)
Henry, E.R.: Classification and uses of Fingerprints. Routledge, London (1990)
Jain, A.K., et al.: Feature selection evaluation, application and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(2), 153–158 (1997)
Kamijo, M.: Classifying Fingerprint Images using Neural Network: Deriving the Classification State. IEEE International Conference on Neural Network 3, 1932–1937 (1993)
Kangas, J.A., Kohonen, T., Laaksonen, J.T.: Variants of self-organizing Maps. IEEE Transactions on Neural Networks 1(1), 93–99 (1990)
Kohenon, T.: The self-organizing map. Proc. of IEEEÂ 78(9) (September 1990)
Moayer, B., Fu, K.S.: A Syntactic Approach to Fingerprint Pattern Recognition. Pattern Recognition 7, 1–23 (1975)
He, Y., Tian, J.: Image enhancement and minutiae matching in fingerprint verification. Pattern Recognition Letters 24, 1349–1360 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Reddy, H.R.S., Reddy, N.V.S. (2004). Development of Genetic Algorithm Embedded KNN for Fingerprint Recognition. In: Manandhar, S., Austin, J., Desai, U., Oyanagi, Y., Talukder, A.K. (eds) Applied Computing. AACC 2004. Lecture Notes in Computer Science, vol 3285. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30176-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-30176-9_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23659-7
Online ISBN: 978-3-540-30176-9
eBook Packages: Springer Book Archive