Biometric Recognition Using 3D Ear Shape

By Ping Yan, Kevin W. Bowyer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007

410 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Surgery, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ce3af5ccd47704252b2ec6bf4588c08b4435d32b

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. Almas Abbasi
2. Woo Chaw Seng
3. J. Unar
4. Yingbo Zhou
5. Chenye Wu
6. Ajay Kumar
7. Frauke Günther

In Surgery

1. Almas Abbasi
2. Woo Chaw Seng
3. Ajay Kumar
4. Yingbo Zhou
5. J. Unar

In Signal Processing

1. Almas Abbasi
2. Woo Chaw Seng
3. J. Unar
4. Yingbo Zhou
5. Chenye Wu
6. Ajay Kumar
7. Frauke Günther

Citations in the corpus

• Human Identification Using Finger Images (2012, methodology): “One of the highly successful strategies employs weighted combination of matching scores, as in [27], [37].”
• Automated human identification using ear imaging (2012, background): “Therefore automated personal identification using ear images has been increasingly studied for possible commercial applications.”
• A review of biometric technology along with trends and prospects (2014, positive): “Table 2: Summary of facial region modalities: Modality Feature Set Recognition Techniques Datasets Face Distance between eyes, mouth, side of nose, entire face image, corner points, contours, gender, goatee, roundness of face, edge maps, pixel intensity, local and global curvatures PCA [95, 96], LDA”