Ear biometrics in computer vision

By M. Burge, W. Burger. Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000

298 citations recorded by the source corpus.

Subfields: Information Systems, Surgery, Signal Processing

View Paper: https://www.semanticscholar.org/paper/502ec7f61795a9eb39525267da07789ce07bc2db

How researchers see this paper

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

In Information Systems

1. Kevin W. Bowyer
2. Bir Bhanu
3. Hui Chen
4. Ping Yan

In Surgery

1. Kevin W. Bowyer
2. Bir Bhanu
3. Hui Chen
4. Ping Yan
5. Ajay Kumar
6. Yingbo Zhou

In Signal Processing

1. Ping Yan
2. Kevin W. Bowyer
3. Bir Bhanu
4. Hui Chen
5. Danil V. Prokhorov
6. Almas Abbasi
7. Woo Chaw Seng
8. J. Unar

Citations in the corpus

• Human Ear Recognition in 3D (2007, methodology): “Researchers have developed several biometrics techniques using the 2D intensity images [1, chapter 13], [3], [4], [5].”
• Biometric Recognition Using 3D Ear Shape (2007, methodology): “In another previous work, we compared recognition using 2D intensity images of the ear with recognition using 2D intensity images of the face and suggested that they are comparable in recognition power [6], [27].”