SISTEM BIOMETRIK TELINGA MENGGUNAKAN JARINGAN SYARAF TIRUAN

Ina Agustina, Fauziah Fauziah, Aris Gunaryati

Abstract


Introduction of biometrics is a human person based on physical characters. Biometric discussed in this study ear biometrics. The introduction of ear has a low level of cost. In this study designed Ear Biometrics System using Neural Networks with Propagation Network Algorithms Behind (Back propagation neural network). Neural Networks is one branch of science of the field of artificial intelligence, neural networks can be used to solve problems - problems which involve clustering, pattern recognition, and forecasting. In this paper, a software designed to verify someone's ear using an algorithm Propagation Network Feedback. Results of testing to verify someone's ear using Backpropagation Neural Network, the value of the percentage of successful introduction of someone on testing using the image of train reached ≥ 80% whereas in test test images reached ≥ 80%. Data from the 10 ears, 80% accuracy. Two ears of data, failure to capture the ears because of the time distance is too close or too far away

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References


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