Histogram of Gradient and Local Binary Pattern with Extreme Learning Machine Based Ear Recognition
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The ear recognition system is an attractive research topic in the area of biometrics. It involves building machine learning models to verify the identities of humans using their ears. In this article, an exploration of the performance of ear recognition using two features - local binary pattern and histogram of gradient - has been done using the famous dataset USTB. The finding is that there is a similarity in the performance of these two features in terms of accuracy with a difference in the number of false predictions. The achieved accuracy of the histogram of gradient based extreme learning machine was 99.86% while for local binary pattern based extreme learning machine it was 99.59%.
2021 ◽
Vol 2089
(1)
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pp. 012047
2020 ◽
2020 ◽
2020 ◽
Vol 2
(1)
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pp. 3-6
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2018 ◽
Vol 13
(1)
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pp. 21
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2021 ◽
2019 ◽
Vol 7
(6)
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pp. 985-990
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2020 ◽
Vol 8
(10)
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pp. 6974-6983
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