FINGERPRINT RECOGNITION USING ARTIFICIAL NEURAL NETWORK
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Keywords:
fingerprint recognition
Gabor Filter
FFT algorithm
Artificial Neural Network
Back-Propagation algorithm
Abstract
Fingerprint recognition has been popularly used in biometric systems. A lot of methods have been studied to improve performance and optimize recognition system. In this paper, an effective method based on the training artificial neural network model using multi-layer perceptron with back-propagation algorithm is studied and presented to recognize fingerprint. In addition, the quality of ridge line is enhanced with the combination of Gabor filter and Fast Fourier Transform algorithm. This system is evaluated by using three database sets FVC 2000, FVC 2002, FVC 2004. The performance of the proposed method is compared with that of two other methods, including Matching and RBF SVM. The recognition results indicate that the approach using neural network has high recognition result and reliability. The best performance of this system on the same condition database sets is over 90% with both FAR and FRR of 4%.
References
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Published
May 31, 2016
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How to Cite
Nguyen Sanh Thanh, Vo Thi Bich Phuong, Le Huu Duy, Pham Van Tuan. “FINGERPRINT RECOGNITION USING ARTIFICIAL NEURAL NETWORK”. The University of Danang - Journal of Science and Technology, vol. 5, no. 102, May 2016, pp. 90-94, https://jst-ud.vn/jst-ud/article/view/1048.
