Learn More
Ears are an emergent biometric accruing application advantages including no requirement for subject contact and acquisition without demand. To recognize a subject's ear, we aim to extract a characteristic vector from a human ear image that may subsequently be used to identify or confirm the identity of the owner. Towards this end, a novel force field(More)
The objective in defining feature space is to reduce the dimension of the original pattem space yet maintaining discriminatory power for classijkation [l]. To meet this objective in the context of ear and face biometrics a novel force field transformation has been developed in which the image is treated as an array of Gaussian attractors that act as the(More)
There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low-and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but impeded by speed of computation. We have developed new ways to extract features based on notional use of(More)
  • 1