The use of ear as a biometric cue for recognizing individuals has been attempted as an alternative or complimentary biometric for identification of individuals from images and video. In collaboration with West Virginia University and University of Miami. The High Technology Foundation staff researchers are expanding the operational capability of ear recognition systems and strengthening the science of ear biometrics. Research includes assessment of ear individualization and development of methods for ear localization, ear feature extraction, ear classification, and one-to-one matching.
Please Follow the Links below to learn more about DASP efforts in this area:
- Multimodal biometrics system based on face profile and ear (SPIE DSS 2014 Conference Proceedings)
- Ear Recognition: A Complete System (SPIE DSS 2013 Conference Proceedings)
- Human ear detection in the thermal infrared spectrum (SPIE DSS 2012 Conference Proceedings)
- Ear biometric survey article
- Ear segmentation in color facial images using mathematical morphology
- Fast learning ear detection for real-time surveillance
- Human Ear Recognition
- On Ear-based Human Identification in the Mid-Wave Infrared Spectrum
- Towards understanding the symmetry of human ears: A biometric perspective