Performance analysis on iris recognition based on half polar iris localization and normalization method using modified low cost camera

机译：基于半极性虹膜定位和归一化方法的低成本摄像机虹膜识别性能分析

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摘要

Iris recognition offers unique pattern as a biometric authentication. Iris has advantages in term of universality, distinctiveness, permanence, and collectability. This research proposed implementation of half polar iris localization and normalization to improve performance of iris recognition that is detected using modified low cost camera. In the development phase dataset from CASIA-IrisV1 is used. The performance of the recognition is then evaluated based on level of accuracy and execution time. Our proposed method produces better accuracy for Iris Localization, and hence suitable for Iris Recognition The processing speed analysis shows that the proposed method performs faster Iris based authentication.

机译：虹膜识别提供独特的模式作为生物特征认证。虹膜在通用性，独特性，永久性和可收藏性方面具有优势。这项研究提出了半极性虹膜定位和归一化的实施方案，以提高使用改良型低成本相机检测到的虹膜识别性能。在开发阶段，使用来自CASIA-IrisV1的数据集。然后根据准确性和执行时间评估识别性能。我们的方法为虹膜定位提供了更好的精度，因此适合虹膜识别。处理速度分析表明，该方法执行了更快的基于虹膜的身份验证。

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来源
《2017 15th International Conference on Quality in Research : International Symposium on Electrical and Computer Engineering》|2017年|1-4|共4页
会议地点 Nusa Dua(ID)
作者
Kalamullah Ramli; Rudy Nurhadi; Yohan Suryanto; Alfan Presekal;
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作者单位

Center FAIRNESS, Computer Engineering, Universitas Indonesia;

Center FAIRNESS, Computer Engineering, Universitas Indonesia;

Center FAIRNESS, Computer Engineering, Universitas Indonesia;

Center FAIRNESS, Computer Engineering, Universitas Indonesia;

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原文格式 PDF
正文语种 eng
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关键词
Iris recognition; Cameras; Authentication; Binary codes; Performance evaluation; Encoding; Transforms;

机译：虹膜识别；相机；认证；二进制代码；性能评估；编码；转换；;

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专利

1. Performance analysis of quiet and disturbed time ionospheric TEC responses from GPS-based observations, IGS-GIM, IRI-2016 and SPIM/IRI-Plas 2017 models over the low latitude Indian region [J] . Reddybattula Kanaka Durga, Panda Sampad Kumar Advances in space research . 2019,第10期

机译：基于GPS的观测，IGS-GIM，IRI-2016和SPIM / IRI-PLAS 2017模型在低纬度印度地区的安静和扰动时间电离层TEC响应的性能分析
2. Iris Recognition Without Iris Normalization [J] . Lenina Birgale, M. Kokare Journal of computer sciences . 2010,第9期

机译：没有虹膜归一化的虹膜识别
3. Iris Recognition Without Iris Normalization | Science Publications [J] . Lenina Birgale, M. Kokare Journal of computer sciences . 2010,第9期

机译：没有虹膜归一化的虹膜识别科学出版物
4. Performance analysis on iris recognition based on half polar iris localization and normalization method using modified low cost camera [C] . Kalamullah Ramli, Rudy Nurhadi, Yohan Suryanto, International Conference on Quality in Research . 2017

机译：基于半极性虹膜定位的虹膜识别性能分析和经过改进的低成本相机的归一化方法
5. Performance analysis of iris based recognition system at the matching score level. [D] . Ketkar, Manasi V. 2005

机译：基于虹膜的识别系统在匹配分数级别的性能分析。
6. Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor [O] . Dat Tien Nguyen, Tuyen Danh Pham, Young Won Lee, 2018

机译：基于深度学习的基于虹膜识别的虹膜识别增强演示攻击检测方法
7. Iris Recognition: An Analysis of the Aliasing Problem in the Iris Normalization Stage [O] . Hugo Proença, Luís A. Alex 2008

机译：虹膜识别：虹膜归一化阶段的混叠问题分析
8. IREX I (The Iris Exchange): Performance of Iris Recognition Algorithms on Standard Images [R] . Grother, P., Tabassis, E., Quinn, G. W., 2009

机译：IREX I（虹膜交换）：标准图像上虹膜识别算法的性能

Performance analysis on iris recognition based on half polar iris localization and normalization method using modified low cost camera

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