Kevin W. Bowyer - ear biometrics.

• Profile Face Detection: A Subset Multi-biometric Approach,
  James Gentile, Kevin W. Bowyer and Patrick J. Flynn,
  Biometrics: Theory, Applications and Systems, September 2008, Washington, DC.
  DOI link to IEEE Xplore version of this paper.
  

• A Fast Algorithm for ICP-based 3D Shape Biometrics,
  Ping Yan and Kevin W. Bowyer.
  Computer Vision and Image Understanding, 107 (3), 195-202, September 2007.
  pdf of this paper.
  "... we present a novel approach, called "Pre-computed Voxel Nearest Neighbor," to reduce the computational time for shape matching in a biometrics context. The approach shifts the heavy computation burden to the enrollment stage, which is done offline. Experiments in 3D ear biometrics with 369 subjects and 3D face biometrics with 219 subjects demonstrate the effectiveness of our approach."
  

• Biometric Recognition Using Three-dimensional Ear Shape,
  Ping Yan and Kevin W. Bowyer.
  IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (8), 1297-1308, August 2007.
  pdf of this paper.
  "... We present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for recognition. We evaluated this system with the largest experimental study to date in ear biometrics, achieving a rank-one recognition rate of 97.8% for an identification scenario, and equal error rate of 1.2% for a verification scenario on a database of 415 subjects and 1,386 total probes."
  

• Comparison and Combination of Ear and Face Images for Appearance-based Biometrics,
  Kyong Chang, Kevin W. Bowyer, Sudeep Sarkar, and Barnabas Victor,
  IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (9), September 2003, 1160-1165.
  pdf of this paper.
  "In the experiments reported here, recognition performance is essentially identical using ear images or face images and combining the two for multimodal recognition results in a statistically significant performance improvement. ... To our knowledge, ours is the only work to present any experimental results of computer algorithms for biometric recognition based on the ear."