Toward Accurate and Fast Iris Segmentation for Iris Biometrics

By Zhaofeng He, Tien-Ping Tan, Zhenan Sun, Xianchao Qiu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009

443 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c3b4fc3431fd611e3e5da68caad8f441e13ff532

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Liang Wang
2. Tien-Ping Tan
3. Xiaogang Wang
4. Luc Van Gool
5. Dacheng Tao
6. Yi Yang
7. Chunhua Shen
8. Wanli Ouyang

In Information Systems

1. Arun A. Ross
2. Samir Shah
3. Liang Wang
4. Tien-Ping Tan
5. Yongzhen Huang
6. Anil K. Jain
7. Fabio Roli
8. Giorgio Fumera

In Signal Processing

1. Arun A. Ross
2. Tien-Ping Tan
3. Samir Shah
4. Liang Wang
5. Yongzhen Huang
6. Xiaogang Wang
7. Anil K. Jain
8. Xiaoou Tang

Citations in the corpus

• Iris Segmentation Using Geodesic Active Contours (2009, background): “Large-scale authentication experiments have confirmed this notion further underscoring the relevance of this biometric trait in distinguishing individuals [2], [3].”
• A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs (2017, background): “There are various kinds of biometric features, e.g., iris [20], fingerprint [21], face [22] and gait [23], which bear various characteristics .”