Cross-sensor iris matching using patch-based hybrid dictionary learning

Bo Ren Zheng, Dai Yan Ji, Yung Hui Li

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Recently, more and more new iris acquisition devices appear on the market. In practical situation, it is highly possible that the iris images for training and testing are acquired by different iris image sensors. In that case, the recognition rate will decrease a lot and become much worse than the one when both sets of images are acquired by the same image sensors. Such issue is called "cross-sensor iris matching". In this paper, we propose a novel iris image hallucination method using a patch-based hybrid dictionary learning scheme which is able to hallucinate iris images across different sensors. Thus, given an iris image in test stage which is acquired by a new image sensor, a corresponding iris image will be hallucinated which looks as if it is captured by the old image sensor used in training stage. By matching training images with hallucinated images, the recognition rate can be enhanced. The experimental results show that the proposed method is better than the baseline, which proves the effectiveness of the proposed image hallucination method.

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主出版物標題ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems
發行者SciTePress
頁面169-174
頁數6
ISBN(列印)9789897580284
出版狀態已出版 - 2014
事件16th International Conference on Enterprise Information Systems, ICEIS 2014 - Lisbon, Portugal
持續時間: 27 4月 201430 4月 2014

出版系列

名字ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems
2

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???event.eventtypes.event.conference???16th International Conference on Enterprise Information Systems, ICEIS 2014
國家/地區Portugal
城市Lisbon
期間27/04/1430/04/14

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