While identical twins identification is a well known challenge in face recognition, it seems that no work has explored automatic ear recognition for identical twin identification. Ear image recognition has been studied for years, but Iannarelli (1989) appears to be the only work mentioning the twin identification (performed manually). We here explore the possibility of automatic twin identification from their ear images based on a psychological model for face recognition in humans, known as Exception Report Model (ERM). We test our approach on 39 pairs of identical twins (78 subjects), with several levels of resolution, occlusion, noise, left vs. right ear, and feature optimization which verifies the robustness of the introduced features.
|Title of host publication||International Conference on Parttern Recognition (ICPR)|
|Editors||Jan-olof eklundh, Yuichi Ohta, Steven Tanimoto|
|Place of Publication||Japan|
|Publisher||IEEE, Institute of Electrical and Electronics Engineers|
|Number of pages||4|
|Publication status||Published - 11 Nov 2012|
|Event||21st International Conference on Pattern Recognition (ICPR 2012) - Tsukuba, Tsukuba, Japan|
Duration: 11 Nov 2012 → 15 Nov 2012
|Conference||21st International Conference on Pattern Recognition (ICPR 2012)|
|Abbreviated title||ICPR 2012|
|Period||11/11/12 → 15/11/12|
Nejati, H., Zhang, L., Sim, T., Martinez Marroquin, E., & Zhou, G. D. (2012). Wonder Ears: Identification of Identical Twins from Ear Images. In J. eklundh, Y. Ohta, & S. Tanimoto (Eds.), International Conference on Parttern Recognition (ICPR) (pp. 1201-1204). Japan: IEEE, Institute of Electrical and Electronics Engineers.