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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition

February 1, 2023

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Authors

Yifeng Chen

Soochow University


Cheng Wu

Soochow University


Yiming Wang

Soochow University


DOI:

10.1609/aaai.v33i01.33019929


Abstract:

For large-scale iris recognition tasks, the determination of classification thresholds remains a challenging task, especially in practical applications where sample space is growing rapidly. Due to the complexity of iris samples, the classification threshold is difficult to determine with the increase of samples. The key issue to solving such threshold determination problems is to obtain iris feature vectors with more obvious discrimination. Therefore, we train deep convolutional neural networks based on a large number of iris samples to extract iris features. More importantly, an optimized center loss function referred to Tight Center (T -Center) Loss is used to solve the problem of insufficient discrimination caused by Softmax loss function. In order to evaluate the effectiveness of our proposed method, we use cosine similarity to estimate the similarity between the features on the published datasets CASIA-IrisV4 and IITD2.0. Our experiment results demonstrate that the T -Center loss can minimize intra-class variance and maximize inter-class variance, which achieve significant performance on the benchmark experiments.

Topics: AAAI

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HOW TO CITE:

Yifeng Chen||Cheng Wu||Yiming Wang T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition Proceedings of the AAAI Conference on Artificial Intelligence (2019) 9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition AAAI 2019, 9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang (2019). T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. Proceedings of the AAAI Conference on Artificial Intelligence, 9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang. T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang. 2019. T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. "Proceedings of the AAAI Conference on Artificial Intelligence". 9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang. (2019) "T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition", Proceedings of the AAAI Conference on Artificial Intelligence, p.9929-9930

Yifeng Chen||Cheng Wu||Yiming Wang, "T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition", AAAI, p.9929-9930, 2019.

Yifeng Chen||Cheng Wu||Yiming Wang. "T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang. "T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 9929-9930.

Yifeng Chen||Cheng Wu||Yiming Wang. T-Center: A Novel Discriminative Feature Extraction Approach for Iris Recognition. AAAI[Internet]. 2019[cited 2023]; 9929-9930.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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