Abstract
Fingerprint authentication belongs to one of the oldest biometric systems. This paper defines a new approach for fingerprint recognition. In this paper only termination points of minutiae are used for authentication. This system matches only the fingerprint image with database image when there is 100 % match or more than 90 %. Finally, the neural network approach is applied for measurement of neural network performance. The false accept rate and false reject rate are also defined.
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© 2016 Springer Science+Business Media Singapore
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Annu Agarwal, Sharma, A.K., Sarika Khandelwal (2016). Fingerprint Recognition System by Termination Points Using Cascade-Forward Backpropagation Neural Network. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 439. Springer, Singapore. https://doi.org/10.1007/978-981-10-0755-2_22
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DOI: https://doi.org/10.1007/978-981-10-0755-2_22
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